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ORCIDDeLiang Wang
DeLiang L. Wang
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- affiliation: Ohio State University, Columbus, USA
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2020 – today
- 2025
[j152]Heming Wang, Ashutosh Pandey, DeLiang Wang:
A systematic study of DNN based speech enhancement in reverberant and reverberant-noisy environments. Comput. Speech Lang. 89: 101677 (2025)- 2024
- [j151]Taro Toyoizumi, DeLiang Wang:
A surge of submissions. Neural Networks 169: 793-794 (2024) - [j150]DeLiang Wang, Mauro Forti, Tongliang Liu, Taro Toyoizumi:
Expansion of the editorial team. Neural Networks 173: 106209 (2024) - [j149]Hassan Taherian
, DeLiang Wang:
Multi-Channel Conversational Speaker Separation via Neural Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2467-2476 (2024) - [j148]Vahid Ahmadi Kalkhorani, DeLiang Wang:
TF-CrossNet: Leveraging Global, Cross-Band, Narrow-Band, and Positional Encoding for Single- and Multi-Channel Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4999-5009 (2024) - [c199]Hassan Taherian, Ashutosh Pandey, Daniel Wong, Buye Xu, DeLiang Wang:
Leveraging Sound Localization to Improve Continuous Speaker Separation. ICASSP 2024: 621-625 - [c198]Vahid Ahmadi Kalkhorani, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang:
Audiovisual Speaker Separation with Full- and Sub-Band Modeling in the Time-Frequency Domain. ICASSP 2024: 12001-12005 - [i33]Heming Wang, Eric W. Healy, DeLiang Wang:
Combined Generative and Predictive Modeling for Speech Super-resolution. CoRR abs/2401.14269 (2024) - [i32]Vahid Ahmadi Kalkhorani, DeLiang Wang:
CrossNet: Leveraging Global, Cross-Band, Narrow-Band, and Positional Encoding for Single- and Multi-Channel Speaker Separation. CoRR abs/2403.03411 (2024) - [i31]Yufeng Yang, Ashutosh Pandey, DeLiang Wang:
Towards Decoupling Frontend Enhancement and Backend Recognition in Monaural Robust ASR. CoRR abs/2403.06387 (2024) - [i30]Vahid Ahmadi Kalkhorani, Cheng Yu, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang:
AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling. CoRR abs/2406.11619 (2024) - 2023
- [j147]Taro Toyoizumi, DeLiang Wang:
Another bumper year. Neural Networks 157: 471-472 (2023) - [j146]Taro Toyoizumi, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 157: xl (2023) - [j145]Hao Zhang, DeLiang Wang:
Deep MCANC: A deep learning approach to multi-channel active noise control. Neural Networks 158: 318-327 (2023) - [j144]Hao Zhang, Ashutosh Pandey, DeLiang Wang:
Low-Latency Active Noise Control Using Attentive Recurrent Network. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1114-1123 (2023) - [j143]Ashutosh Pandey, DeLiang Wang:
Attentive Training: A New Training Framework for Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1360-1370 (2023) - [j142]Yixuan Zhang, Heming Wang, DeLiang Wang:
$F0$ Estimation and Voicing Detection With Cascade Architecture in Noisy Speech. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3760-3770 (2023) - [c197]Yixuan Zhang, Meng Yu, Hao Zhang, Dong Yu, DeLiang Wang:
Neuralkalman: A Learnable Kalman Filter for Acoustic Echo Cancellation. ASRU 2023: 1-7 - [c196]Hassan Taherian, DeLiang Wang:
Multi-Resolution Location-Based Training for Multi-Channel Continuous Speech Separation. ICASSP 2023: 1-5 - [c195]Heming Wang, Yao Qian, Hemin Yang, Nauyuki Kanda, Peidong Wang, Takuya Yoshioka, Xiaofei Wang, Yiming Wang, Shujie Liu, Zhuo Chen, DeLiang Wang, Michael Zeng:
DATA2VEC-SG: Improving Self-Supervised Learning Representations for Speech Generation Tasks. ICASSP 2023: 1-5 - [c194]Heming Wang, DeLiang Wang:
Cross-Domain Diffusion Based Speech Enhancement for Very Noisy Speech. ICASSP 2023: 1-5 - [c193]Hassan Taherian, Ashutosh Pandey, Daniel Wong, Buye Xu, DeLiang Wang:
Multi-input Multi-output Complex Spectral Mapping for Speaker Separation. INTERSPEECH 2023: 1070-1074 - [c192]Vahid Ahmadi Kalkhorani, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang:
Time-domain Transformer-based Audiovisual Speaker Separation. INTERSPEECH 2023: 3472-3476 - [c191]Yufeng Yang, Ashutosh Pandey, DeLiang Wang:
Time-Domain Speech Enhancement for Robust Automatic Speech Recognition. INTERSPEECH 2023: 4913-4917 - [i29]Hassan Taherian, DeLiang Wang:
Multi-resolution location-based training for multi-channel continuous speech separation. CoRR abs/2301.06458 (2023) - [i28]Yixuan Zhang, Meng Yu, Hao Zhang, Dong Yu, DeLiang Wang:
KalmanNet: A Learnable Kalman Filter for Acoustic Echo Cancellation. CoRR abs/2301.12363 (2023) - [i27]Hassan Taherian, DeLiang Wang:
Multi-channel Conversational Speaker Separation via Neural Diarization. CoRR abs/2311.08630 (2023) - [i26]Yixuan Zhang, Heming Wang, DeLiang Wang:
Leveraging Laryngograph Data for Robust Voicing Detection in Speech. CoRR abs/2312.03129 (2023) - 2022
- [j141]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 145: xix (2022) - [j140]Kenji Doya, Taro Toyoizumi, DeLiang Wang:
Continual growth and a transition. Neural Networks 145: xx-xxi (2022) - [j139]Ke Tan, Zhong-Qiu Wang, DeLiang Wang:
Neural Spectrospatial Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 30: 605-621 (2022) - [j138]Heming Wang, DeLiang Wang:
Neural Cascade Architecture With Triple-Domain Loss for Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 30: 734-743 (2022) - [j137]Ashutosh Pandey, DeLiang Wang:
Self-Attending RNN for Speech Enhancement to Improve Cross-Corpus Generalization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1374-1385 (2022) - [j136]Hao Zhang, DeLiang Wang:
Neural Cascade Architecture for Multi-Channel Acoustic Echo Suppression. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2326-2336 (2022) - [j135]Hassan Taherian, Ke Tan, DeLiang Wang:
Multi-Channel Talker-Independent Speaker Separation Through Location-Based Training. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2791-2800 (2022) - [j134]Heming Wang, Xueliang Zhang, DeLiang Wang:
Fusing Bone-Conduction and Air-Conduction Sensors for Complex-Domain Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 30: 3134-3143 (2022) - [c190]Zhong-Qiu Wang, DeLiang Wang:
Localization based Sequential Grouping for Continuous Speech Separation. ICASSP 2022: 281-285 - [c189]Hao Zhang, DeLiang Wang:
Neural Cascade Architecture for Joint Acoustic Echo and Noise Suppression. ICASSP 2022: 671-675 - [c188]Hassan Taherian, Ke Tan, DeLiang Wang:
Location-Based Training for Multi-Channel Talker-Independent Speaker Separation. ICASSP 2022: 696-700 - [c187]Heming Wang, Yao Qian, Xiaofei Wang, Yiming Wang, Chengyi Wang, Shujie Liu, Takuya Yoshioka, Jinyu Li, DeLiang Wang:
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction. ICASSP 2022: 6062-6066 - [c186]Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang:
TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement. ICASSP 2022: 6497-6501 - [c185]Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang:
Multichannel Speech Enhancement Without Beamforming. ICASSP 2022: 6502-6506 - [c184]Heming Wang, Xueliang Zhang, DeLiang Wang:
Attention-Based Fusion for Bone-Conducted and Air-Conducted Speech Enhancement in the Complex Domain. ICASSP 2022: 7757-7761 - [c183]Heming Wang, DeLiang Wang:
Cross-Domain Speech Enhancement with a Neural Cascade Architecture. ICASSP 2022: 7862-7866 - [c182]Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong Aik Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu:
Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge. ICASSP 2022: 9156-9160 - [c181]Ashutosh Pandey, DeLiang Wang:
Attentive Training: A New Training Framework for Talker-independent Speaker Extraction. INTERSPEECH 2022: 201-205 - [c180]Yixuan Zhang, Heming Wang, DeLiang Wang:
Densely-connected Convolutional Recurrent Network for Fundamental Frequency Estimation in Noisy Speech. INTERSPEECH 2022: 401-405 - [c179]Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang:
Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network. INTERSPEECH 2022: 729-733 - [c178]Hao Zhang, Ashutosh Pandey, DeLiang Wang:
Attentive Recurrent Network for Low-Latency Active Noise Control. INTERSPEECH 2022: 956-960 - [c177]Haohe Liu, Woosung Choi, Xubo Liu, Qiuqiang Kong, Qiao Tian, DeLiang Wang:
Neural Vocoder is All You Need for Speech Super-resolution. INTERSPEECH 2022: 4227-4231 - [c176]Haohe Liu, Xubo Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang:
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration. INTERSPEECH 2022: 4232-4236 - [i25]Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong Aik Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu:
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge. CoRR abs/2202.03647 (2022) - [i24]Yufeng Yang, Peidong Wang, DeLiang Wang:
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition. CoRR abs/2203.00725 (2022) - [i23]Haohe Liu, Woosung Choi, Xubo Liu, Qiuqiang Kong, Qiao Tian, DeLiang Wang:
Neural Vocoder is All You Need for Speech Super-resolution. CoRR abs/2203.14941 (2022) - [i22]Haohe Liu, Xubo Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang:
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration. CoRR abs/2204.05841 (2022) - 2021
- [j133]Kenji Doya, DeLiang Wang:
Maintaining the Publication Infrastructure in a Worldwide Pandemic. Neural Networks 133: xvi-xvii (2021) - [j132]Hao Zhang, DeLiang Wang:
Deep ANC: A deep learning approach to active noise control. Neural Networks 141: 1-10 (2021) - [j131]Peidong Wang, Zhuo Chen, DeLiang Wang, Jinyu Li, Yifan Gong:
Speaker Separation Using Speaker Inventories and Estimated Speech. IEEE ACM Trans. Audio Speech Lang. Process. 29: 537-546 (2021) - [j130]Ashutosh Pandey, DeLiang Wang:
Dense CNN With Self-Attention for Time-Domain Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1270-1279 (2021) - [j129]Ke Tan, DeLiang Wang:
Towards Model Compression for Deep Learning Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1785-1794 (2021) - [j128]Ke Tan, Xueliang Zhang, DeLiang Wang:
Deep Learning Based Real-Time Speech Enhancement for Dual-Microphone Mobile Phones. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1853-1863 (2021) - [j127]Zhong-Qiu Wang, Peidong Wang, DeLiang Wang:
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2001-2014 (2021) - [j126]Heming Wang, DeLiang Wang:
Towards Robust Speech Super-Resolution. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2058-2066 (2021) - [j125]Hao Li, DeLiang Wang, Xueliang Zhang, Guanglai Gao:
Recurrent Neural Networks and Acoustic Features for Frame-Level Signal-to-Noise Ratio Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2878-2887 (2021) - [c175]Zhong-Qiu Wang, DeLiang Wang:
Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation. ICASSP 2021: 11-15 - [c174]Yixuan Zhang, Yuzhou Liu, DeLiang Wang:
Complex Ratio Masking For Singing Voice Separation. ICASSP 2021: 41-45 - [c173]Hassan Taherian, DeLiang Wang:
Time-Domain Loss Modulation Based on Overlap Ratio for Monaural Conversational Speaker Separation. ICASSP 2021: 5744-5748 - [c172]Ke Tan, Xueliang Zhang, DeLiang Wang:
Real-Time Speech Enhancement for Mobile Communication Based on Dual-Channel Complex Spectral Mapping. ICASSP 2021: 6134-6138 - [c171]Ke Tan, DeLiang Wang:
Compressing Deep Neural Networks for Efficient Speech Enhancement. ICASSP 2021: 8358-8362 - [c170]Hao Zhang, DeLiang Wang:
A Deep Learning Method to Multi-Channel Active Noise Control. Interspeech 2021: 681-685 - [c169]Hao Zhang, DeLiang Wang:
A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation. Interspeech 2021: 1139-1143 - [i21]Hao Zhang, DeLiang Wang:
Multi-Channel and Multi-Microphone Acoustic Echo Cancellation Using A Deep Learning Based Approach. CoRR abs/2103.02552 (2021) - [i20]Ashutosh Pandey, DeLiang Wang:
Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization. CoRR abs/2105.12831 (2021) - [i19]Zhong-Qiu Wang, DeLiang Wang:
Localization Based Sequential Grouping for Continuous Speech Separation. CoRR abs/2107.06853 (2021) - [i18]Haohe Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang:
VoiceFixer: Toward General Speech Restoration With Neural Vocoder. CoRR abs/2109.13731 (2021) - [i17]Hassan Taherian, Ke Tan, DeLiang Wang:
Location-based training for multi-channel talker-independent speaker separation. CoRR abs/2110.04289 (2021) - [i16]Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang:
TPARN: Triple-path Attentive Recurrent Network for Time-domain Multichannel Speech Enhancement. CoRR abs/2110.10757 (2021) - [i15]Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang:
TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement. CoRR abs/2110.11844 (2021) - [i14]Ashutosh Pandey, Buye Xu, Anurag Kumar, Jacob Donley, Paul Calamia, DeLiang Wang:
Multichannel Speech Enhancement without Beamforming. CoRR abs/2110.13130 (2021) - [i13]Heming Wang, Yao Qian, Xiaofei Wang, Yiming Wang, Chengyi Wang, Shujie Liu, Takuya Yoshioka, Jinyu Li, DeLiang Wang:
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction. CoRR abs/2110.15430 (2021) - 2020
- [j124]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 132: iii (2020) - [j123]Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 28: 39-48 (2020) - [j122]Ke Tan, DeLiang Wang:
Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 380-390 (2020) - [j121]Zhong-Qiu Wang, DeLiang Wang:
Deep Learning Based Target Cancellation for Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 941-950 (2020) - [j120]Hassan Taherian, Zhong-Qiu Wang, Jorge Chang, DeLiang Wang:
Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1293-1302 (2020) - [j119]Yan Zhao, DeLiang Wang, Buye Xu, Tao Zhang:
Monaural Speech Dereverberation Using Temporal Convolutional Networks With Self Attention. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1598-1607 (2020) - [j118]Zhong-Qiu Wang, Peidong Wang, DeLiang Wang:
Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1778-1787 (2020) - [j117]Yuzhou Liu, DeLiang Wang:
Causal Deep CASA for Monaural Talker-Independent Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2109-2118 (2020) - [j116]Ashutosh Pandey, DeLiang Wang:
On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2489-2499 (2020) - [c168]Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. ICASSP 2020: 486-490 - [c167]Heming Wang, DeLiang Wang:
Time-Frequency Loss for CNN Based Speech Super-Resolution. ICASSP 2020: 861-865 - [c166]Yuzhou Liu, Masood Delfarah, DeLiang Wang:
Deep Casa for Talker-independent Monaural Speech Separation. ICASSP 2020: 6354-6358 - [c165]Ashutosh Pandey, DeLiang Wang:
Densely Connected Neural Network with Dilated Convolutions for Real-Time Speech Enhancement in The Time Domain. ICASSP 2020: 6629-6633 - [c164]Ke Tan, DeLiang Wang:
Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts. ICASSP 2020: 6914-6918 - [c163]Masood Delfarah, Yuzhou Liu, DeLiang Wang:
Talker-Independent Speaker Separation in Reverberant Conditions. ICASSP 2020: 8723-8727 - [c162]Hao Zhang, DeLiang Wang:
A Deep Learning Approach to Active Noise Control. INTERSPEECH 2020: 1141-1145 - [c161]Yan Zhao, DeLiang Wang:
Noisy-Reverberant Speech Enhancement Using DenseUNet with Time-Frequency Attention. INTERSPEECH 2020: 3261-3265 - [c160]Ashutosh Pandey, DeLiang Wang:
Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization. INTERSPEECH 2020: 4511-4515 - [c159]Hao Li, DeLiang Wang, Xueliang Zhang, Guanglai Gao:
Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning. INTERSPEECH 2020: 4626-4630 - [i12]Ashutosh Pandey, DeLiang Wang:
On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement. CoRR abs/2002.04027 (2020) - [i11]Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. CoRR abs/2003.01861 (2020) - [i10]Ashutosh Pandey, DeLiang Wang:
Dense CNN with Self-Attention for Time-Domain Speech Enhancement. CoRR abs/2009.01941 (2020) - [i9]Zhong-Qiu Wang, Peidong Wang, DeLiang Wang:
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation. CoRR abs/2010.01703 (2020) - [i8]Peidong Wang, Zhuo Chen, DeLiang Wang, Jinyu Li, Yifan Gong:
Speaker Separation Using Speaker Inventories and Estimated Speech. CoRR abs/2010.10556 (2020) - [i7]Ashutosh Pandey, DeLiang Wang:
Dual-path Self-Attention RNN for Real-Time Speech Enhancement. CoRR abs/2010.12713 (2020) - [i6]Yixuan Zhang, Yuzhou Liu, DeLiang Wang:
Complex ratio masking for singing voice separation. CoRR abs/2011.02008 (2020)
2010 – 2019
- 2019
- [j115]Yan Zhao, Zhong-Qiu Wang, DeLiang Wang:
Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 53-62 (2019) - [j114]Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang:
Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 178-188 (2019) - [j113]Ke Tan, Jitong Chen, DeLiang Wang:
Gated Residual Networks With Dilated Convolutions for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 189-198 (2019) - [j112]Zhong-Qiu Wang, DeLiang Wang:
Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 457-468 (2019) - [j111]Ashutosh Pandey, DeLiang Wang:
A New Framework for CNN-Based Speech Enhancement in the Time Domain. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1179-1188 (2019) - [j110]Masood Delfarah, DeLiang Wang:
Deep Learning for Talker-Dependent Reverberant Speaker Separation: An Empirical Study. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1839-1848 (2019) - [j109]Yuzhou Liu, DeLiang Wang:
Divide and Conquer: A Deep CASA Approach to Talker-Independent Monaural Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2092-2102 (2019) - [c158]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. ICASSP 2019: 71-75 - [c157]Jingli Xie, Danqi Jin, Wen Zhang, Xiao-Lei Zhang, Jie Chen, DeLiang Wang:
Robust Sparse Multichannel Active Noise Control. ICASSP 2019: 521-525 - [c156]Ke Tan, Xueliang Zhang, DeLiang Wang:
Real-time Speech Enhancement Using an Efficient Convolutional Recurrent Network for Dual-microphone Mobile Phones in Close-talk Scenarios. ICASSP 2019: 5751-5755 - [c155]Ke Tan, DeLiang Wang:
Complex Spectral Mapping with a Convolutional Recurrent Network for Monaural Speech Enhancement. ICASSP 2019: 6865-6869 - [c154]Ashutosh Pandey, DeLiang Wang:
TCNN: Temporal Convolutional Neural Network for Real-time Speech Enhancement in the Time Domain. ICASSP 2019: 6875-6879 - [c153]Ashutosh Pandey, DeLiang Wang:
Exploring Deep Complex Networks for Complex Spectrogram Enhancement. ICASSP 2019: 6885-6889 - [c152]Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling. INTERSPEECH 2019: 471-475 - [c151]Peidong Wang, DeLiang Wang:
Enhanced Spectral Features for Distortion-Independent Acoustic Modeling. INTERSPEECH 2019: 476-480 - [c150]Hassan Taherian, Zhong-Qiu Wang, DeLiang Wang:
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments. INTERSPEECH 2019: 4070-4074 - [c149]Hao Zhang, Ke Tan, DeLiang Wang:
Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions. INTERSPEECH 2019: 4255-4259 - [i5]Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling. CoRR abs/1903.04567 (2019) - [i4]Yuzhou Liu, DeLiang Wang:
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation. CoRR abs/1904.11148 (2019) - 2018
- [j108]Kenji Doya, DeLiang Wang:
Fostering deep learning and beyond. Neural Networks 97: iii-iv (2018) - [j107]DeLiang Wang, Jitong Chen:
Supervised Speech Separation Based on Deep Learning: An Overview. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1702-1726 (2018) - [c148]Ke Tan, Jitong Chen, DeLiang Wang:
Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation. ICASSP 2018: 21-25 - [c147]Peidong Wang, DeLiang Wang:
Utterance-Wise Recurrent Dropout and Iterative Speaker Adaptation for Robust Monaural Speech Recognition. ICASSP 2018: 4814-4818 - [c146]Yuzhou Liu, DeLiang Wang:
A Casa Approach to Deep Learning Based Speaker-Independent Co-Channel Speech Separation. ICASSP 2018: 5399-5403 - [c145]Masood Delfarah, DeLiang Wang:
Recurrent Neural Networks for Cochannel Speech Separation in Reverberant Environments. ICASSP 2018: 5404-5408 - [c144]Ashutosh Pandey, DeLiang Wang:
On Adversarial Training and Loss Functions for Speech Enhancement. ICASSP 2018: 5414-5418 - [c143]Yan Zhao, DeLiang Wang, Buye Xu, Tao Zhang:
Late Reverberation Suppression Using Recurrent Neural Networks with Long Short-Term Memory. ICASSP 2018: 5434-5438 - [c142]Peidong Wang, DeLiang Wang:
Filter-and-Convolve: A Cnn Based Multichannel Complex Concatenation Acoustic Model. ICASSP 2018: 5564-5568 - [c141]Yuzhou Liu, DeLiang Wang:
Permutation Invariant Training for Speaker-Independent Multi-Pitch Tracking. ICASSP 2018: 5594-5598 - [c140]Zhong-Qiu Wang, DeLiang Wang:
Mask Weighted Stft Ratios for Relative Transfer Function Estimation and ITS Application to Robust ASR. ICASSP 2018: 5619-5623 - [c139]Zhong-Qiu Wang, DeLiang Wang:
On Spatial Features for Supervised Speech Separation and its Application to Beamforming and Robust ASR. ICASSP 2018: 5709-5713 - [c138]Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang:
Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks. INTERSPEECH 2018: 322-326 - [c137]Ashutosh Pandey, DeLiang Wang:
A New Framework for Supervised Speech Enhancement in the Time Domain. INTERSPEECH 2018: 1136-1140 - [c136]Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey:
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. INTERSPEECH 2018: 2708-2712 - [c135]Zhong-Qiu Wang, DeLiang Wang:
Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation. INTERSPEECH 2018: 2718-2722 - [c134]Ke Tan, DeLiang Wang:
A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement. INTERSPEECH 2018: 3229-3233 - [c133]Zhong-Qiu Wang, DeLiang Wang:
All-Neural Multi-Channel Speech Enhancement. INTERSPEECH 2018: 3234-3238 - [c132]Hao Zhang, DeLiang Wang:
Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios. INTERSPEECH 2018: 3239-3243 - [c131]Ke Tan, DeLiang Wang:
A Two-Stage Approach to Noisy Cochannel Speech Separation with Gated Residual Networks. INTERSPEECH 2018: 3484-3488 - [c130]Soumitro Chakrabarty, DeLiang Wang, Emanuël A. P. Habets:
Time-Frequency Masking Based Online Speech Enhancement with Multi-Channel Data Using Convolutional Neural Networks. IWAENC 2018: 476-480 - [i3]Zhong-Qiu Wang, Jonathan Le Roux, DeLiang Wang, John R. Hershey:
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction. CoRR abs/1804.10204 (2018) - [i2]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. CoRR abs/1811.09010 (2018) - 2017
- [j106]Kenji Doya, DeLiang Wang:
Promoting Further Developments of Neural Networks. Neural Networks 85: xiii (2017) - [j105]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 94: iii (2017) - [j104]Xueliang Zhang, DeLiang Wang:
Deep Learning Based Binaural Speech Separation in Reverberant Environments. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 1075-1084 (2017) - [j103]Masood Delfarah, DeLiang Wang:
Features for Masking-Based Monaural Speech Separation in Reverberant Conditions. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 1085-1094 (2017) - [j102]Donald S. Williamson, DeLiang Wang:
Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising. IEEE ACM Trans. Audio Speech Lang. Process. 25(7): 1492-1501 (2017) - [c129]Zhong-Qiu Wang, DeLiang Wang:
Recurrent deep stacking networks for supervised speech separation. ICASSP 2017: 71-75 - [c128]Xueliang Zhang, Zhong-Qiu Wang, DeLiang Wang:
A speech enhancement algorithm by iterating single- and multi-microphone processing and its application to robust ASR. ICASSP 2017: 276-280 - [c127]Zhong-Qiu Wang, DeLiang Wang:
Unsupervised speaker adaptation of batch normalized acoustic models for robust ASR. ICASSP 2017: 4890-4894 - [c126]Jorge Chang, DeLiang Wang:
Robust speaker recognition based on DNN/i-vectors and speech separation. ICASSP 2017: 5415-5419 - [c125]Yan Zhao, Zhong-Qiu Wang, DeLiang Wang:
A two-stage algorithm for noisy and reverberant speech enhancement. ICASSP 2017: 5580-5584 - [c124]Donald S. Williamson, DeLiang Wang:
Speech dereverberation and denoising using complex ratio masks. ICASSP 2017: 5590-5594 - [c123]Yuzhou Liu, DeLiang Wang:
Time and frequency domain long short-term memory for noise robust pitch tracking. ICASSP 2017: 5600-5604 - [c122]Xueliang Zhang, DeLiang Wang:
Binaural Reverberant Speech Separation Based on Deep Neural Networks. INTERSPEECH 2017: 2018-2022 - [i1]DeLiang Wang, Jitong Chen:
Supervised Speech Separation Based on Deep Learning: An Overview. CoRR abs/1708.07524 (2017) - 2016
- [j101]Kenji Doya, DeLiang Wang:
State of Neural Networks Is Strong. Neural Networks 73: xiii (2016) - [j100]Jitong Chen, Yuxuan Wang, DeLiang Wang:
Noise perturbation for supervised speech separation. Speech Commun. 78: 1-10 (2016) - [j99]Xiao-Lei Zhang, DeLiang Wang:
Boosting Contextual Information for Deep Neural Network Based Voice Activity Detection. IEEE ACM Trans. Audio Speech Lang. Process. 24(2): 252-264 (2016) - [j98]Donald S. Williamson, Yuxuan Wang, DeLiang Wang:
Complex Ratio Masking for Monaural Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 24(3): 483-492 (2016) - [j97]Zhong-Qiu Wang, DeLiang Wang:
A Joint Training Framework for Robust Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 796-806 (2016) - [j96]Xiao-Lei Zhang, DeLiang Wang:
A Deep Ensemble Learning Method for Monaural Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 967-977 (2016) - [c121]Zhong-Qiu Wang, Yan Zhao, DeLiang Wang:
Phoneme-specific speech separation. ICASSP 2016: 146-150 - [c120]Donald S. Williamson, Yuxuan Wang, DeLiang Wang:
Complex ratio masking for joint enhancement of magnitude and phase. ICASSP 2016: 5220-5224 - [c119]Yuzhou Liu, DeLiang Wang:
Robust pitch tracking in noisy speech using speaker-dependent deep neural networks. ICASSP 2016: 5255-5259 - [c118]Zhong-Qiu Wang, DeLiang Wang:
Robust speech recognition from ratio masks. ICASSP 2016: 5720-5724 - [c117]Yan Zhao, DeLiang Wang, Ivo Merks, Tao Zhang:
DNN-based enhancement of noisy and reverberant speech. ICASSP 2016: 6525-6529 - [c116]Masood Delfarah, DeLiang Wang:
A Feature Study for Masking-Based Reverberant Speech Separation. INTERSPEECH 2016: 555-559 - [c115]Jitong Chen, DeLiang Wang:
Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation. INTERSPEECH 2016: 3314-3318 - 2015
- [j95]Arun Narayanan, DeLiang Wang:
Improving Robustness of Deep Neural Network Acoustic Models via Speech Separation and Joint Adaptive Training. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 92-101 (2015) - [j94]Kun Han, Yuxuan Wang, DeLiang Wang, William S. Woods, Ivo Merks, Tao Zhang:
Learning Spectral Mapping for Speech Dereverberation and Denoising. IEEE ACM Trans. Audio Speech Lang. Process. 23(6): 982-992 (2015) - [j93]Xiaojia Zhao, Yuxuan Wang, DeLiang Wang:
Cochannel Speaker Identification in Anechoic and Reverberant Conditions. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1727-1736 (2015) - [j92]Jiangye Yuan, DeLiang Wang, Anil M. Cheriyadat:
Factorization-Based Texture Segmentation. IEEE Trans. Image Process. 24(11): 3488-3497 (2015) - [c114]Jitong Chen, Yuxuan Wang, DeLiang Wang:
Noise Perturbation Improves Supervised Speech Separation. LVA/ICA 2015: 83-90 - [c113]Yuxuan Wang, DeLiang Wang:
A deep neural network for time-domain signal reconstruction. ICASSP 2015: 4390-4394 - [c112]Xiaojia Zhao, Yuxuan Wang, DeLiang Wang:
Deep neural networks for cochannel speaker identification. ICASSP 2015: 4824-4828 - [c111]Donald S. Williamson, Yuxuan Wang, DeLiang Wang:
Deep neural networks for estimating speech model activations. ICASSP 2015: 5113-5117 - [c110]Xiao-Lei Zhang, DeLiang Wang:
Multi-resolution stacking for speech separation based on boosted DNN. INTERSPEECH 2015: 1745-1749 - [c109]Kun Han, Yanzhang He, Deblin Bagchi, Eric Fosler-Lussier, DeLiang Wang:
Deep neural network based spectral feature mapping for robust speech recognition. INTERSPEECH 2015: 2484-2488 - [c108]Zhong-Qiu Wang, DeLiang Wang:
Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition. INTERSPEECH 2015: 2839-2843 - [c107]Yuzhou Liu, DeLiang Wang:
Speaker-dependent multipitch tracking using deep neural networks. INTERSPEECH 2015: 3279-3283 - 2014
- [j91]Arun Narayanan, DeLiang Wang:
Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 826-835 (2014) - [j90]Xiaojia Zhao, Yuxuan Wang, DeLiang Wang:
Robust Speaker Identification in Noisy and Reverberant Conditions. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 836-845 (2014) - [j89]Yuxuan Wang, Arun Narayanan, DeLiang Wang:
On training targets for supervised speech separation. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1849-1858 (2014) - [j88]Jitong Chen, Yuxuan Wang, DeLiang Wang:
A feature study for classification-based speech separation at low signal-to-noise ratios. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1993-2002 (2014) - [j87]Yi Jiang, DeLiang Wang, Runsheng Liu, Zhenming Feng:
Binaural classification for reverberant speech segregation using deep neural networks. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 2112-2121 (2014) - [j86]Kun Han, DeLiang Wang:
Neural network based pitch tracking in very noisy speech. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 2158-2168 (2014) - [j85]Jiangye Yuan, DeLiang Wang, Rongxing Li:
Remote Sensing Image Segmentation by Combining Spectral and Texture Features. IEEE Trans. Geosci. Remote. Sens. 52(1): 16-24 (2014) - [c106]Kun Han, DeLiang Wang:
Neural networks for supervised pitch tracking in noise. ICASSP 2014: 1488-1492 - [c105]Arun Narayanan, DeLiang Wang:
Joint noise adaptive training for robust automatic speech recognition. ICASSP 2014: 2504-2508 - [c104]Xiaojia Zhao, Yuxuan Wang, DeLiang Wang:
Robust speaker identification in noisy and reverberant conditions. ICASSP 2014: 3997-4001 - [c103]Kun Han, Yuxuan Wang, DeLiang Wang:
Learning spectral mapping for speech dereverberation. ICASSP 2014: 4628-4632 - [c102]Yuxuan Wang, DeLiang Wang:
A structure-preserving training target for supervised speech separation. ICASSP 2014: 6107-6111 - [c101]Donald S. Williamson, Yuxuan Wang, DeLiang Wang:
A two-stage approach for improving the perceptual quality of separated speech. ICASSP 2014: 7034-7038 - [c100]Jitong Chen, Yuxuan Wang, DeLiang Wang:
A feature study for classification-based speech separation at very low signal-to-noise ratio. ICASSP 2014: 7039-7043 - [c99]Xiao-Lei Zhang, DeLiang Wang:
Boosted deep neural networks and multi-resolution cochleagram features for voice activity detection. INTERSPEECH 2014: 1534-1538 - [c98]Yi Jiang, DeLiang Wang, Runsheng Liu:
Binaural deep neural network classification for reverberant speech segregation. INTERSPEECH 2014: 2400-2404 - 2013
- [j84]Ke Hu, DeLiang Wang:
An iterative model-based approach to cochannel speech separation. EURASIP J. Audio Speech Music. Process. 2013: 14 (2013) - [j83]De-Shuang Huang, DeLiang Wang:
Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011). Neurocomputing 116: 1-2 (2013) - [j82]Ke Hu, DeLiang Wang:
An Unsupervised Approach to Cochannel Speech Separation. IEEE Trans. Speech Audio Process. 21(1): 120-129 (2013) - [j81]Kun Han, DeLiang Wang:
Towards Generalizing Classification Based Speech Separation. IEEE Trans. Speech Audio Process. 21(1): 166-175 (2013) - [j80]Yuxuan Wang, Kun Han, DeLiang Wang:
Exploring Monaural Features for Classification-Based Speech Segregation. IEEE Trans. Speech Audio Process. 21(2): 270-279 (2013) - [j79]John Woodruff, DeLiang Wang:
Binaural Detection, Localization, and Segregation in Reverberant Environments Based on Joint Pitch and Azimuth Cues. IEEE Trans. Speech Audio Process. 21(4): 806-815 (2013) - [j78]Yuxuan Wang, DeLiang Wang:
Towards Scaling Up Classification-Based Speech Separation. IEEE Trans. Speech Audio Process. 21(7): 1381-1390 (2013) - [j77]William Hartmann, Arun Narayanan, Eric Fosler-Lussier, DeLiang Wang:
A Direct Masking Approach to Robust ASR. IEEE Trans. Speech Audio Process. 21(10): 1993-2005 (2013) - [c97]Arun Narayanan, DeLiang Wang:
Coupling binary masking and robust ASR. ICASSP 2013: 6817-6821 - [c96]Donald S. Williamson, Yuxuan Wang, DeLiang Wang:
A sparse representation approach for perceptual quality improvement of separated speech. ICASSP 2013: 7015-7019 - [c95]Arun Narayanan, DeLiang Wang:
Ideal ratio mask estimation using deep neural networks for robust speech recognition. ICASSP 2013: 7092-7096 - [c94]Xiaojia Zhao, DeLiang Wang:
Analyzing noise robustness of MFCC and GFCC features in speaker identification. ICASSP 2013: 7204-7208 - [c93]Yuxuan Wang, DeLiang Wang:
Feature denoising for speech separation in unknown noisy environments. ICASSP 2013: 7472-7476 - [c92]Kun Han, DeLiang Wang:
Learning invariant features for speech separation. ICASSP 2013: 7492-7496 - [c91]DeLiang Wang:
Keynote addresses: From auditory masking to binary classification: Machine learning for speech separation. WASPAA 2013: 1 - [c90]DeLiang Wang, Rainer Martin, Peter Vary, Paris Smaragdis:
Keynote addresses: From auditory masking to binary classification: Machine learning for speech separation. WASPAA 2013: 1-3 - 2012
- [j76]Kenji Doya, John G. Taylor, DeLiang Wang:
Expedited review process. Neural Networks 25: 1 (2012) - [j75]Kenji Doya, DeLiang Wang:
Loss of a Co-Editor-in-Chief and friend. Neural Networks 29: v (2012) - [j74]Jiangye Yuan, DeLiang Wang, Rongxing Li:
Image segmentation using local spectral histograms and linear regression. Pattern Recognit. Lett. 33(5): 615-622 (2012) - [j73]Chao-Ling Hsu, DeLiang Wang, Jyh-Shing Roger Jang, Ke Hu:
A Tandem Algorithm for Singing Pitch Extraction and Voice Separation From Music Accompaniment. IEEE Trans. Speech Audio Process. 20(5): 1482-1491 (2012) - [j72]John Woodruff, DeLiang Wang:
Binaural Localization of Multiple Sources in Reverberant and Noisy Environments. IEEE Trans. Speech Audio Process. 20(5): 1503-1512 (2012) - [j71]Xiaojia Zhao, Yang Shao, DeLiang Wang:
CASA-Based Robust Speaker Identification. IEEE Trans. Speech Audio Process. 20(5): 1608-1616 (2012) - [j70]Arun Narayanan, DeLiang Wang:
A CASA-Based System for Long-Term SNR Estimation. IEEE Trans. Speech Audio Process. 20(9): 2518-2527 (2012) - [c89]John Woodruff, DeLiang Wang:
Binaural speech segregation based on pitch and azimuth tracking. ICASSP 2012: 241-244 - [c88]Kun Han, DeLiang Wang:
On generalization of classification based speech separation. ICASSP 2012: 4541-4544 - [c87]Ke Hu, DeLiang Wang:
SVM-based separation of unvoiced-voiced speech in cochannel conditions. ICASSP 2012: 4545-4548 - [c86]Arun Narayanan, DeLiang Wang:
On the Role of Binary Mask Pattern in Automatic Speech Recognition. INTERSPEECH 2012: 1239-1242 - [c85]Yuxuan Wang, DeLiang Wang:
Boosting Classification Based Speech Separation Using Temporal Dynamics. INTERSPEECH 2012: 1528-1531 - [c84]Yuxuan Wang, Kun Han, DeLiang Wang:
Acoustic Features for Classification Based Speech Separation. INTERSPEECH 2012: 1532-1535 - [c83]Yuxuan Wang, DeLiang Wang:
Cocktail Party Processing via Structured Prediction. NIPS 2012: 224-232 - [p3]Arun Narayanan, DeLiang Wang:
Computational Auditory Scene Analysis and Automatic Speech Recognition. Techniques for Noise Robustness in Automatic Speech Recognition 2012: 433-462 - 2011
- [j69]Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang:
An excellent year and a transition. Neural Networks 24(1): 1 (2011) - [j68]Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks 24(1): 54-64 (2011) - [j67]Tariqullah Jan, Wenwu Wang, DeLiang Wang:
A multistage approach to blind separation of convolutive speech mixtures. Speech Commun. 53(4): 524-539 (2011) - [j66]Zhaozhang Jin, DeLiang Wang:
HMM-Based Multipitch Tracking for Noisy and Reverberant Speech. IEEE Trans. Speech Audio Process. 19(5): 1091-1102 (2011) - [j65]Ke Hu, DeLiang Wang:
Unvoiced Speech Segregation From Nonspeech Interference via CASA and Spectral Subtraction. IEEE Trans. Speech Audio Process. 19(6): 1600-1609 (2011) - [j64]Zhaozhang Jin, DeLiang Wang:
Reverberant Speech Segregation Based on Multipitch Tracking and Classification. IEEE Trans. Speech Audio Process. 19(8): 2328-2337 (2011) - [j63]Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, Rongxing Li:
LEGION-Based Automatic Road Extraction From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 49(11): 4528-4538 (2011) - [c82]John Woodruff, DeLiang Wang:
Directionality-based speech enhancement for hearing aids. ICASSP 2011: 297-300 - [c81]Chao-Ling Hsu, DeLiang Wang, Jyh-Shing Roger Jang:
A trend estimation algorithm for singing pitch detection in musical recordings. ICASSP 2011: 393-396 - [c80]Kun Han, DeLiang Wang:
An SVM based classification approach to speech separation. ICASSP 2011: 4632-4635 - [c79]Ke Hu, DeLiang Wang:
An approach to sequential grouping in cochannel speech. ICASSP 2011: 4636-4639 - [c78]Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric Fosler-Lussier:
Robust speech recognition using multiple prior models for speech reconstruction. ICASSP 2011: 4800-4803 - [c77]Arun Narayanan, DeLiang Wang:
On the use of ideal binary masks for improving phonetic classification. ICASSP 2011: 5212-5215 - [c76]Xiaojia Zhao, Yang Shao, DeLiang Wang:
Robust speaker identification using a CASA front-end. ICASSP 2011: 5468-5471 - [c75]Jiangye Yuan, DeLiang Wang, Rongxing Li:
Image segmentation based on local spectral histograms and linear regression. IJCNN 2011: 482-488 - 2010
- [j62]Yang Shao, Soundararajan Srinivasan, Zhaozhang Jin, DeLiang Wang:
A computational auditory scene analysis system for speech segregation and robust speech recognition. Comput. Speech Lang. 24(1): 77-93 (2010) - [j61]Soundararajan Srinivasan, DeLiang L. Wang:
Robust speech recognition by integrating speech separation and hypothesis testing. Speech Commun. 52(1): 72-81 (2010) - [j60]John Woodruff, DeLiang Wang:
Sequential Organization of Speech in Reverberant Environments by Integrating Monaural Grouping and Binaural Localization. IEEE Trans. Speech Audio Process. 18(7): 1856-1866 (2010) - [j59]Guoning Hu, DeLiang L. Wang:
A Tandem Algorithm for Pitch Estimation and Voiced Speech Segregation. IEEE Trans. Speech Audio Process. 18(8): 2067-2079 (2010) - [c74]Ulrik Kjems, Michael Syskind Pedersen, Jesper Bünsow Boldt, Thomas Lunner, DeLiang Wang:
Speech intelligibility of ideal binary masked mixtures. EUSIPCO 2010: 1909-1913 - [c73]John Woodruff, DeLiang Wang:
Integrating monaural and binaural analysis for localizing multiple reverberant sound sources. ICASSP 2010: 2706-2709 - [c72]Zhaozhang Jin, DeLiang Wang:
A multipitch tracking algorithm for noisy and reverberant speech. ICASSP 2010: 4218-4221 - [c71]John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lussier, DeLiang Wang:
Combining monaural and binaural evidence for reverberant speech segregation. INTERSPEECH 2010: 406-409 - [c70]Ke Hu, DeLiang Wang:
Unvoiced speech segregation based on CASA and spectral subtraction. INTERSPEECH 2010: 2786-2789 - [c69]Ke Hu, DeLiang Wang:
Unsupervised sequential organization for cochannel speech separation. INTERSPEECH 2010: 2790-2793
2000 – 2009
- 2009
- [j58]Yipeng Li, DeLiang Wang:
Musical Sound Separation Based on Binary Time-Frequency Masking. EURASIP J. Audio Speech Music. Process. 2009 (2009) - [j57]Yipeng Li, DeLiang Wang:
On the optimality of ideal binary time-frequency masks. Speech Commun. 51(3): 230-239 (2009) - [j56]Yang Shao, DeLiang Wang:
Sequential organization of speech in computational auditory scene analysis. Speech Commun. 51(8): 657-667 (2009) - [j55]Zhaozhang Jin, DeLiang Wang:
A Supervised Learning Approach to Monaural Segregation of Reverberant Speech. IEEE Trans. Speech Audio Process. 17(4): 625-638 (2009) - [j54]Yipeng Li, John Woodruff, DeLiang Wang:
Monaural Musical Sound Separation Based on Pitch and Common Amplitude Modulation. IEEE Trans. Speech Audio Process. 17(7): 1361-1371 (2009) - [c68]Tariqullah Jan, Wenwu Wang, DeLiang Wang:
A multistage approach for blind separation of convolutive speech mixtures. ICASSP 2009: 1713-1716 - [c67]John Woodruff, DeLiang Wang:
On the role of localization cues in binaural segregation of reverberant speech. ICASSP 2009: 2205-2208 - [c66]Ke Hu, DeLiang Wang:
Incorporating spectral subtraction and noise type for unvoiced speech segregation. ICASSP 2009: 4425-4428 - [c65]Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundararajan Srinivasan:
An auditory-based feature for robust speech recognition. ICASSP 2009: 4625-4628 - [c64]Zhaozhang Jin, DeLiang Wang:
Learning to maximize signal-to-noise ratio for reverberant speech segregation. ICASSP 2009: 4689-4692 - [c63]Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
An oscillatory correlation model of object-based attention. IJCNN 2009: 2596-2602 - [c62]Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, Rongxing Li:
Automatic road extraction from satellite imagery using LEGION networks. IJCNN 2009: 3471-3476 - 2008
- [j53]Nicoleta Roman, DeLiang Wang:
Binaural Tracking of Multiple Moving Sources. IEEE Trans. Speech Audio Process. 16(4): 728-739 (2008) - [j52]Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems:
Two-Microphone Separation of Speech Mixtures. IEEE Trans. Neural Networks 19(3): 475-492 (2008) - [c61]Yipeng Li, DeLiang Wang:
Musical Sound Separation Using Pitch-Based Labeling and Binary Time-Frequency Masking. ICASSP 2008: 173-176 - [c60]Yang Shao, DeLiang Wang:
Robust speaker identification using auditory features and computational auditory scene analysis. ICASSP 2008: 1589-1592 - [c59]Yipeng Li, DeLiang Wang:
On the optimality of ideal binary time-frequency masks. ICASSP 2008: 3501-3504 - [c58]Ke Hu, Pierre L. Divenyi, Daniel P. W. Ellis, Zhaozhang Jin, Barbara G. Shinn-Cunningham, DeLiang Wang:
Preliminary intelligibility tests of a monaural speech segregation system. SAPA@INTERSPEECH 2008: 11-16 - [c57]John Woodruff, Yipeng Li, DeLiang Wang:
Resolving Overlapping Harmonics for Monaural Musical Sound Separation using Fundamental Frequency and Common Amplitude Modulation. ISMIR 2008: 538-543 - [c56]DeLiang L. Wang, Guoning Hu:
Cocktail Party Processing. WCCI 2008: 333-348 - 2007
- [j51]Guoning Hu, DeLiang Wang:
Auditory Segmentation Based on Onset and Offset Analysis. IEEE Trans. Speech Audio Process. 15(2): 396-405 (2007) - [j50]Yipeng Li, DeLiang Wang:
Separation of Singing Voice From Music Accompaniment for Monaural Recordings. IEEE Trans. Speech Audio Process. 15(4): 1475-1487 (2007) - [j49]Soundararajan Srinivasan, DeLiang L. Wang:
Transforming Binary Uncertainties for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 15(7): 2130-2140 (2007) - [c55]Yang Shao, Soundararajan Srinivasan, DeLiang Wang:
Incorporating Auditory Feature Uncertainties in Robust Speaker Identification. ICASSP (4) 2007: 277-280 - [c54]Yipeng Li, DeLiang Wang:
Pitch Detection in Polyphonic Music using Instrument Tone Models. ICASSP (2) 2007: 481-484 - [c53]Soundararajan Srinivasan, Nicoleta Roman, DeLiang Wang:
Exploiting Uncertainties for Binaural Speech Recognition. ICASSP (4) 2007: 789-792 - [c52]Zhaozhang Jin, DeLiang Wang:
A Supervised Learning Approach to Monaural Segregation of Reverberant Speech. ICASSP (4) 2007: 921-924 - [p2]DeLiang Wang:
Computational Scene Analysis. Challenges for Computational Intelligence 2007: 163-191 - 2006
- [j48]DeLiang Wang:
LEGION: locally excitatory globally inhibitory oscillator networks. Scholarpedia 1(9): 1620 (2006) - [j47]Soundararajan Srinivasan, Nicoleta Roman, DeLiang L. Wang:
Binary and ratio time-frequency masks for robust speech recognition. Speech Commun. 48(11): 1486-1501 (2006) - [j46]Yang Shao, DeLiang Wang:
Model-based sequential organization in cochannel speech. IEEE Trans. Speech Audio Process. 14(1): 289-298 (2006) - [j45]Mingyang Wu, DeLiang Wang:
A two-stage algorithm for one-microphone reverberant speech enhancement. IEEE Trans. Speech Audio Process. 14(3): 774-784 (2006) - [c51]DeLiang Wang:
Cocktail Party Processing. IBERAMIA-SBIA 2006: 6 - [c50]Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems:
Separating Underdetermined Convolutive Speech Mixtures. ICA 2006: 674-681 - [c49]Soundararajan Srinivasan, DeLiang Wang:
A Supervised Learning Approach to Uncertainty Decoding for Robust Speech Recognition. ICASSP (1) 2006: 297-300 - [c48]Nicoleta Roman, Soundararajan Srinivasan, DeLiang Wang:
Speech Recognition in Multisource Reverberant Environments with Binaural Inputs. ICASSP (1) 2006: 309-312 - [c47]Yang Shao, DeLiang Wang:
Robust Speaker Recognition Using Binary Time-Frequency Masks. ICASSP (1) 2006: 645-648 - [c46]DeLiang Wang, Guoning Hu:
Unvoiced Speech Segregation. ICASSP (5) 2006: 953-956 - [c45]Soundararajan Srinivasan, Yang Shao, Zhaozhang Jin, DeLiang Wang:
A computational auditory scene analysis system for robust speech recognition. INTERSPEECH 2006 - [c44]Yipeng Li, DeLiang Wang:
Singing Voice Separation from Monaural Recordings. ISMIR 2006: 176-179 - [e3]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4232, Springer 2006, ISBN 3-540-46479-4 [contents] - [e2]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4233, Springer 2006, ISBN 3-540-46481-6 [contents] - [e1]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III. Lecture Notes in Computer Science 4234, Springer 2006, ISBN 3-540-46484-0 [contents] - 2005
- [j44]Soundararajan Srinivasan, DeLiang L. Wang:
A schema-based model for phonemic restoration. Speech Commun. 45(1): 63-87 (2005) - [j43]DeLiang Wang:
The time dimension for scene analysis. IEEE Trans. Neural Networks 16(6): 1401-1426 (2005) - [c43]Yipeng Li, DeLiang Wang:
Detecting pitch of singing voice in polyphonic audio. ICASSP (3) 2005: 17-20 - [c42]Soundararajan Srinivasan, DeLiang Wang:
Robust Speech Recognition by Integrating Speech Separation and Hypothesis Testing. ICASSP (1) 2005: 89-92 - [c41]Mingyang Wu, DeLiang Wang:
A Two-Stage Algorithm for Enhancement of Reverberant Speech. ICASSP (1) 2005: 1085-1088 - [c40]Guoning Hu, DeLiang Wang:
Separation of Fricatives and Affricates. ICASSP (1) 2005: 1101-1104 - [c39]Soundararajan Srinivasan, DeLiang Wang:
Modeling the perception of multitalker speech. INTERSPEECH 2005: 1265-1268 - [c38]Nicoleta Roman, DeLiang Wang:
A pitch-based model for separation of reverberant speech. INTERSPEECH 2005: 2109-2112 - [p1]DeLiang Wang:
On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis. Speech Separation by Humans and Machines 2005: 181-197 - 2004
- [j42]Kalle J. Palomäki, Guy J. Brown, DeLiang L. Wang:
A binaural processor for missing data speech recognition in the presence of noise and small-room reverberation. Speech Commun. 43(4): 361-378 (2004) - [j41]Shannon R. Campbell, DeLiang L. Wang, Ciriyam Jayaprakash:
Synchronization rates in classes of relaxation oscillators. IEEE Trans. Neural Networks 15(5): 1027-1038 (2004) - [j40]Guoning Hu, DeLiang L. Wang:
Monaural speech segregation based on pitch tracking and amplitude modulation. IEEE Trans. Neural Networks 15(5): 1135-1150 (2004) - [c37]Nicoleta Roman, DeLiang Wang:
Binaural sound segregation for multisource reverberant environments. ICASSP (2) 2004: 373-376 - [c36]Guoning Hu, DeLiang Wang:
Auditory segmentation based on event detection. SAPA@INTERSPEECH 2004: 62 - [c35]Soundararajan Srinivasan, Nicoleta Roman, DeLiang Wang:
On binary and ratio time-frequency masks for robust speech recognition. INTERSPEECH 2004: 2541-2544 - [c34]Yang Shao, DeLiang Wang:
Model-based sequential organization for cochannel speaker identification. INTERSPEECH 2004: 2593-2596 - 2003
- [j39]Donald C. Wunsch II, Michael E. Hasselmo, DeLiang L. Wang, Ganesh K. Venayagamoorthy:
Welcome to the special issue: the best of the best. Neural Networks 16(5-6): 519 (2003) - [j38]Xiuwen Liu, Anuj Srivastava, DeLiang L. Wang:
Intrinsic generalization analysis of low dimensional representations. Neural Networks 16(5-6): 537-545 (2003) - [j37]Mingyang Wu, DeLiang Wang, Guy J. Brown:
A multipitch tracking algorithm for noisy speech. IEEE Trans. Speech Audio Process. 11(3): 229-241 (2003) - [j36]Xiuwen Liu, DeLiang L. Wang:
Texture classification using spectral histograms. IEEE Trans. Image Process. 12(6): 661-670 (2003) - [c33]Nicoleta Roman, DeLiang Wang:
Binaural tracking of multiple moving sources. ICASSP (5) 2003: 149-152 - [c32]Yang Shao, DeLiang Wang:
Co-channel speaker identification using usable speech extraction based on multi-pitch tracking. ICASSP (2) 2003: 205-208 - [c31]Guoning Hu, DeLiang Wang:
Separation of stop consonants. ICASSP (2) 2003: 749-752 - [c30]Mingyang Wu, DeLiang Wang:
A one-microphone algorithm for reverberant speech enhancement. ICASSP (1) 2003: 892-895 - [c29]Soundararajan Srinivasan, DeLiang Wang:
Schema-based modeling of phonemic restoration. INTERSPEECH 2003: 2053-2056 - [c28]Nicoleta Roman, DeLiang L. Wang, Guy J. Brown:
A Classification-based Cocktail-party Processor. NIPS 2003: 1425-1432 - [c27]Guoning Hu, DeLiang Wang:
Segregation of stop consonants from acoustic interference. NNSP 2003: 647-656 - 2002
- [j35]Ke Chen, DeLiang L. Wang:
A dynamically coupled neural oscillator network for image segmentation. Neural Networks 15(3): 423-439 (2002) - [j34]DeLiang L. Wang, Xiuwen Liu:
Scene analysis by integrating primitive segmentation and associative memory. IEEE Trans. Syst. Man Cybern. Part B 32(3): 254-268 (2002) - [c26]Mingyang Wu, DeLiang Wang, Guy J. Brown:
A multi-pitch tracking algorithm for noisy speech. ICASSP 2002: 369-372 - [c25]Guoning Hu, DeLiang L. Wang:
Monaural speech segregation based on pitch tracking and amplitude modulation. ICASSP 2002: 553-556 - [c24]Nicoleta Roman, DeLiang Wang, Guy J. Brown:
Location-based sound segregation. ICASSP 2002: 1013-1016 - [c23]Guoning Hu, DeLiang L. Wang:
Monaural Speech Separation. NIPS 2002: 1221-1228 - 2001
- [j33]DeLiang L. Wang:
Unsupervised Learning: Foundations of Neural Computation. AI Mag. 22(2): 101-102 (2001) - [j32]Jeffrey J. Fox, Ciriyam Jayaprakash, DeLiang L. Wang, Shannon R. Campbell:
Synchronization in Relaxation Oscillator Networks with Conduction Delays. Neural Comput. 13(5): 1003-1021 (2001) - [j31]André J. W. van der Kouwe, DeLiang Wang, Guy J. Brown:
A comparison of auditory and blind separation techniques for speech segregation. IEEE Trans. Speech Audio Process. 9(3): 189-195 (2001) - [j30]Xiuwen Liu, Ke Chen, DeLiang Wang:
Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation. IEEE Trans. Geosci. Remote. Sens. 39(1): 207-211 (2001) - [j29]Erdogan Çesmeli, DeLiang L. Wang:
Texture segmentation using Gaussian-Markov random fields and neural oscillator networks. IEEE Trans. Neural Networks 12(2): 394-404 (2001) - [j28]Ke Chen, DeLiang Wang:
Perceiving geometric patterns: from spirals to inside-outside relations. IEEE Trans. Neural Networks 12(5): 1084-1102 (2001) - [c22]Xiuwen Liu, DeLiang L. Wang, Anuj Srivastava:
Image segmentation using local spectral histograms. ICIP (1) 2001: 70-73 - [c21]DeLiang L. Wang:
Anticipation Model for Sequential Learning of Complex Sequences. Sequence Learning 2001: 53-79 - 2000
- [j27]DeLiang L. Wang:
On Connectedness: A Solution Based on Oscillatory Correlation. Neural Comput. 12(1): 131-139 (2000) - [j26]Xiuwen Liu, DeLiang L. Wang, J. Raul Ramirez:
Boundary detection by contextual non-linear smoothing. Pattern Recognit. 33(2): 263-280 (2000) - [j25]Erdogan Çesmeli, DeLiang L. Wang:
Motion segmentation based on motion/brightness integration and oscillatory correlation. IEEE Trans. Neural Networks Learn. Syst. 11(4): 935-947 (2000) - [j24]Ke Chen, DeLiang L. Wang, Xiuwen Liu:
Weight adaptation and oscillatory correlation for image segmentation. IEEE Trans. Neural Networks Learn. Syst. 11(5): 1106-1123 (2000) - [c20]Erdogan Çesmeli, Delwin T. Lindsey, DeLiang L. Wang:
An Oscillatory Correlation Model of Human Motion Perception. IJCNN (4) 2000: 267-272
1990 – 1999
- 1999
- [j23]Shannon R. Campbell, DeLiang L. Wang, Ciriyam Jayaprakash:
Synchrony and Desynchrony in Integrate-and-Fire Oscillators. Neural Comput. 11(7): 1595-1619 (1999) - [j22]DeLiang Wang:
Object selection based on oscillatory correlation. Neural Networks 12(4-5): 579-592 (1999) - [j21]Naeem Shareef, DeLiang L. Wang, Roni Yagel:
Segmentation of Medical Images Using LEGION. IEEE Trans. Medical Imaging 18(18): 74-91 (1999) - [j20]Xiuwen Liu, DeLiang L. Wang:
Range image segmentation using a relaxation oscillator network. IEEE Trans. Neural Networks 10(3): 564-573 (1999) - [j19]DeLiang L. Wang, Guy J. Brown:
Separation of speech from interfering sounds based on oscillatory correlation. IEEE Trans. Neural Networks 10(3): 684-697 (1999) - [c19]Guy J. Brown, DeLiang Wang:
The separation of speech from interfering sounds: an oscillatory correlation approach. IJCNN 1999: 274-279 - [c18]Xiuwen Liu, DeLiang Wang:
A boundary-pair representation for perception modeling. IJCNN 1999: 497-501 - [c17]Ke Chen, DeLiang L. Wang:
Image segmentation based on a dynamically coupled neural oscillator network. IJCNN 1999: 2653-2658 - [c16]Xiuwen Liu, DeLiang Wang:
Perceptual organization based on temporal dynamics. IJCNN 1999: 2679-2684 - [c15]Erdogan Çesmeli, DeLiang Wang:
Image segmentation based on motion/luminance integration and oscillatory correlation. IJCNN 1999: 2723-2728 - [c14]Xiuwen Liu, DeLiang L. Wang:
Perceptual Organization Based on Temporal Dynamics. NIPS 1999: 38-44 - [c13]Guy J. Brown, DeLiang L. Wang:
An Oscillatory Correlation Frame work for Computational Auditory Scene Analysis. NIPS 1999: 747-753 - 1998
- [j18]Paul S. Linsay, DeLiang L. Wang:
Fast numerical integration of relaxation oscillator networks based on singular limit solutions. IEEE Trans. Neural Networks 9(3): 523-532 (1998) - [c12]Xiuwen Liu, DeLiang L. Wang, J. Raul Ramirez:
Oriented Statistical Nonlinear Smoothing Filter. ICIP (2) 1998: 848-852 - [c11]Ke Chen, DeLiang L. Wang:
Perceiving without Learning: From Spirals to Inside/Outside Relations. NIPS 1998: 10-16 - 1997
- [j17]DeLiang L. Wang, David Terman:
Image Segmentation Based on Oscillatory Correlation. Neural Comput. 9(4): 805-836 (1997) - [j16]Guy J. Brown, DeLiang L. Wang:
Modelling the perceptual segregation of double vowels with a network of neural oscillators. Neural Networks 10(9): 1547-1558 (1997) - [c10]Guy J. Brown, DeLiang Wang:
Modelling the perceptual separation of concurrent vowels with a network of neural oscillators. ICNN 1997: 569-574 - [c9]Shannon R. Campbell, DeLiang Wang:
Relaxation oscillator networks with time delays. ICNN 1997: 645-650 - [c8]Erdogan Çesmeli, DeLiang Wang:
Texture segmentation using Gaussian Markov random fields and LEGION. ICNN 1997: 1529-1534 - [c7]Xiuwen Liu, DeLiang Wang:
Range image segmentation using an oscillatory network. ICNN 1997: 1656-1660 - 1996
- [j15]DeLiang L. Wang:
Primitive Auditory Segregation Based on Oscillatory Correlation. Cogn. Sci. 20(3): 409-456 (1996) - [j14]DeLiang Wang, Xiaomei Liu, Stanley C. Ahalt:
On Temporal Generalization of Simple Recurrent Networks. Neural Networks 9(7): 1099-1118 (1996) - [j13]Shannon R. Campbell, DeLiang Wang:
Synchronization and desynchronization in a network of locally coupled Wilson-Cowan oscillators. IEEE Trans. Neural Networks 7(3): 541-554 (1996) - [j12]DeLiang Wang, Budi Yuwono:
Incremental learning of complex temporal patterns. IEEE Trans. Neural Networks 7(6): 1465-1481 (1996) - [c6]Shannon R. Campbell, DeLiang Wang:
Loose synchrony in relaxation oscillator networks with time delays. ICNN 1996: 828-833 - [c5]DeLiang Wang, Budi Yuwono:
A neural model of sequential memory. ICNN 1996: 834-839 - [c4]DeLiang Wang, David Terman:
Image segmentation by neural oscillator networks. ICNN 1996: 1534-1539 - 1995
- [j11]DeLiang Wang, David Terman:
Locally excitatory globally inhibitory oscillator networks. IEEE Trans. Neural Networks 6(1): 283-286 (1995) - [j10]DeLiang Wang:
Emergent synchrony in locally coupled neural oscillators. IEEE Trans. Neural Networks 6(4): 941-948 (1995) - [j9]DeLiang Wang, Budi Yuwono:
Anticipation-based temporal pattern generation. IEEE Trans. Syst. Man Cybern. 25(4): 615-628 (1995) - 1994
- [j8]DeLiang Wang:
Modeling neural mechanisms of vertebrate habituation: Locus specificity and pattern discrimination. J. Comput. Neurosci. 1(4): 285-299 (1994) - [c3]DeLiang Wang:
An oscillation model of auditory stream segregation. ICPR (3) 1994: 198-200 - [c2]DeLiang L. Wang, David Terman:
Synchrony and Desynchrony in Neural Oscillator Networks. NIPS 1994: 199-206 - 1993
- [j7]DeLiang Wang:
A Neural Model of Synaptic Plasticity Underlying Short-term and Long-term Habituation. Adapt. Behav. 2(2): 111-129 (1993) - [j6]DeLiang L. Wang:
Pattern Recognition: Neural Networks in Perspective. IEEE Expert 8(4): 52-60 (1993) - [j5]DeLiang Wang, Michael A. Arbib:
Timing and chunking in processing temporal order. IEEE Trans. Syst. Man Cybern. 23(4): 993-1009 (1993) - 1992
- [j4]DeLiang Wang, Michael A. Arbib:
Modeling the dishabituation hierarchy: The role of the primordial hippocampus. Biol. Cybern. 67(6): 535-544 (1992) - 1990
- [j3]DeLiang Wang, Joachim M. Buhmann, Christoph von der Malsburg:
Pattern Segmentation in Associative Memory. Neural Comput. 2(1): 94-106 (1990) - [j2]DeLiang Wang, Chochun Hsu:
SLONN: A Simulation Language for modeling of Neural Networks. Simul. 55(2): 69-83 (1990) - [c1]DeLiang Wang, Michael A. Arbib:
Mechanisms of pattern discrimination in the toad's visual system. IJCNN 1990: 477-482
1980 – 1989
- 1988
- [j1]DeLiang Wang, Irwin King:
Three neural models which process temporal information. Neural Networks 1(Supplement-1): 227 (1988)
Coauthor Index
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