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ORCIDZhongqiu Wang 0001
Zhong-Qiu Wang 0001
Person information
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- affiliation (2021 - 2024): Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
- affiliation: Google Research, Cambridge, MA, USA
- affiliation: Mitsubishi Electric Research Laboratories, Cambridge, MA, USA
- affiliation (PhD 2020): Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
Other persons with the same name
- Zhongqiu Wang (aka: Zhong-Qiu Wang) — disambiguation page
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2020 – today
- 2024
[j18]Zhong-Qiu Wang
:
Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation. IEEE Signal Process. Lett. 31: 1715-1719 (2024)- [j17]Zhong-Qiu Wang:
USDnet: Unsupervised Speech Dereverberation via Neural Forward Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3882-3895 (2024) - [c42]Hang Chen, Shilong Wu, Chenxi Wang, Jun Du, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Jingdong Chen, Odette Scharenborg, Zhong-Qiu Wang, Bao-Cai Yin, Jia Pan:
Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge. ICASSP Workshops 2024: 123-124 - [c41]Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhongqiu Wang, Shinji Watanabe:
Boosting Unknown-Number Speaker Separation with Transformer Decoder-Based Attractor. ICASSP 2024: 446-450 - [c40]Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao:
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. ICASSP 2024: 8351-8355 - [c39]Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe:
Cross-Talk Reduction. IJCAI 2024: 5171-5180 - [i30]Younglo Lee, Shukjae Choi, Byeong-Yeol Kim, Zhong-Qiu Wang, Shinji Watanabe:
Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor. CoRR abs/2401.12473 (2024) - [i29]Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe:
Cross-Talk Reduction. CoRR abs/2405.20402 (2024) - 2023
- [j16]Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe:
Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing. J. Open Source Softw. 8(91): 5403 (2023) - [j15]Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux:
STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency. IEEE ACM Trans. Audio Speech Lang. Process. 31: 397-410 (2023) - [j14]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux:
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2592-2605 (2023) - [j13]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3221-3236 (2023) - [c38]Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa:
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction. ASRU 2023: 1-6 - [c37]Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian:
Toward Universal Speech Enhancement For Diverse Input Conditions. ASRU 2023: 1-6 - [c36]Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini:
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP 2023: 1-2 - [c35]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. ICASSP 2023: 1-5 - [c34]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. ICASSP 2023: 1-5 - [c33]Zhong-Qiu Wang, Shinji Watanabe:
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. NeurIPS 2023 - [c32]Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe:
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. WASPAA 2023: 1-5 - [d1]Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe:
Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing (espnet-v.202310). Zenodo, 2023
- [i28]Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono:
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. CoRR abs/2302.07928 (2023) - [i27]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling. CoRR abs/2304.08707 (2023) - [i26]Zhong-Qiu Wang, Shinji Watanabe:
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures. CoRR abs/2305.20054 (2023) - [i25]Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur:
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. CoRR abs/2306.13734 (2023) - [i24]Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe:
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. CoRR abs/2307.12231 (2023) - [i23]Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao:
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. CoRR abs/2309.08348 (2023) - [i22]Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian:
Toward Universal Speech Enhancement for Diverse Input Conditions. CoRR abs/2309.17384 (2023) - [i21]Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa:
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction. CoRR abs/2310.08277 (2023) - 2022
- [j12]Zhong-Qiu Wang, Shinji Watanabe:
Improving Frame-Online Neural Speech Enhancement With Overlapped-Frame Prediction. IEEE Signal Process. Lett. 29: 1422-1426 (2022) - [j11]Ke Tan, Zhong-Qiu Wang, DeLiang Wang:
Neural Spectrospatial Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 30: 605-621 (2022) - [c31]Zhong-Qiu Wang, DeLiang Wang:
Localization based Sequential Grouping for Continuous Speech Separation. ICASSP 2022: 281-285 - [c30]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. ICASSP 2022: 526-530 - [c29]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not that: Class-Conditioned Sound Event DOA Estimation. ICASSP 2022: 711-715 - [c28]Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. ICASSP 2022: 7402-7406 - [c27]Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe:
Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge. ICASSP 2022: 9201-9205 - [c26]Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe:
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. INTERSPEECH 2022: 5458-5462 - [i20]Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao:
Conditional Diffusion Probabilistic Model for Speech Enhancement. CoRR abs/2202.05256 (2022) - [i19]Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe:
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge. CoRR abs/2202.12298 (2022) - [i18]Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation. CoRR abs/2203.04197 (2022) - [i17]Zhong-Qiu Wang, Shinji Watanabe:
Improving Frame-Online Neural Speech Enhancement with Overlapped-Frame Prediction. CoRR abs/2204.07566 (2022) - [i16]Zhong-Qiu Wang, Gordon Wichern, Shinji Watanabe, Jonathan Le Roux:
STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency. CoRR abs/2204.09911 (2022) - [i15]Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe:
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. CoRR abs/2207.09514 (2022) - [i14]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. CoRR abs/2209.03952 (2022) - [i13]Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe:
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. CoRR abs/2211.12433 (2022) - [i12]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux:
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. CoRR abs/2212.07327 (2022) - 2021
- [j10]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On the Compensation Between Magnitude and Phase in Speech Separation. IEEE Signal Process. Lett. 28: 2018-2022 (2021) - [j9]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) - [j8]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3476-3490 (2021) - [c25]Zhong-Qiu Wang, DeLiang Wang:
Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation. ICASSP 2021: 11-15 - [c24]Zhong-Qiu Wang, Hakan Erdogan, Scott Wisdom, Kevin W. Wilson, Desh Raj, Shinji Watanabe, Zhuo Chen, John R. Hershey:
Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement. SLT 2021: 905-911 - [c23]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. WASPAA 2021: 56-60 - [c22]Gordon Wichern, Ankush Chakrabarty, Zhong-Qiu Wang, Jonathan Le Roux:
Anomalous Sound Detection Using Attentive Neural Processes. WASPAA 2021: 186-190 - [i11]Zhong-Qiu Wang, DeLiang Wang:
Localization Based Sequential Grouping for Continuous Speech Separation. CoRR abs/2107.06853 (2021) - [i10]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On The Compensation Between Magnitude and Phase in Speech Separation. CoRR abs/2108.05470 (2021) - [i9]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. CoRR abs/2108.07194 (2021) - [i8]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. CoRR abs/2108.07376 (2021) - [i7]Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. CoRR abs/2110.00570 (2021) - [i6]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. CoRR abs/2110.09958 (2021) - 2020
- [j7]Zhong-Qiu Wang, DeLiang Wang:
Deep Learning Based Target Cancellation for Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 941-950 (2020) - [j6]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) - [j5]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) - [c21]Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. ICASSP 2020: 486-490 - [i5]Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. CoRR abs/2003.01861 (2020) - [i4]Zhong-Qiu Wang, Peidong Wang, DeLiang Wang:
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation. CoRR abs/2010.01703 (2020)
2010 – 2019
- 2019
- [j4]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) - [j3]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) - [j2]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) - [c20]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. ICASSP 2019: 71-75 - [c19]Hassan Taherian, Zhong-Qiu Wang, DeLiang Wang:
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments. INTERSPEECH 2019: 4070-4074 - [i3]Zhong-Qiu Wang, Scott Wisdom, Kevin W. Wilson, John R. Hershey:
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement. CoRR abs/1911.07953 (2019) - 2018
- [c18]Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey:
Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation. ICASSP 2018: 1-5 - [c17]Zhong-Qiu Wang, Jonathan Le Roux, John R. Hershey:
Alternative Objective Functions for Deep Clustering. ICASSP 2018: 686-690 - [c16]Zhong-Qiu Wang, DeLiang Wang:
Mask Weighted Stft Ratios for Relative Transfer Function Estimation and ITS Application to Robust ASR. ICASSP 2018: 5619-5623 - [c15]Zhong-Qiu Wang, DeLiang Wang:
On Spatial Features for Supervised Speech Separation and its Application to Beamforming and Robust ASR. ICASSP 2018: 5709-5713 - [c14]Zhong-Qiu Wang, Xueliang Zhang, DeLiang Wang:
Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks. INTERSPEECH 2018: 322-326 - [c13]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 - [c12]Zhong-Qiu Wang, DeLiang Wang:
Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation. INTERSPEECH 2018: 2718-2722 - [c11]Zhong-Qiu Wang, DeLiang Wang:
All-Neural Multi-Channel Speech Enhancement. INTERSPEECH 2018: 3234-3238 - [i2]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) - [i1]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. CoRR abs/1811.09010 (2018) - 2017
- [c10]Zhong-Qiu Wang, DeLiang Wang:
Recurrent deep stacking networks for supervised speech separation. ICASSP 2017: 71-75 - [c9]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 - [c8]Zhong-Qiu Wang, DeLiang Wang:
Unsupervised speaker adaptation of batch normalized acoustic models for robust ASR. ICASSP 2017: 4890-4894 - [c7]Zhong-Qiu Wang, Ivan Tashev:
Learning utterance-level representations for speech emotion and age/gender recognition using deep neural networks. ICASSP 2017: 5150-5154 - [c6]Yan Zhao, Zhong-Qiu Wang, DeLiang Wang:
A two-stage algorithm for noisy and reverberant speech enhancement. ICASSP 2017: 5580-5584 - [c5]Ivan J. Tashev, Zhong-Qiu Wang, Keith W. Godin:
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks. ITA 2017: 1-4 - 2016
- [j1]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) - [c4]Zhong-Qiu Wang, Yan Zhao, DeLiang Wang:
Phoneme-specific speech separation. ICASSP 2016: 146-150 - [c3]Zhong-Qiu Wang, DeLiang Wang:
Robust speech recognition from ratio masks. ICASSP 2016: 5720-5724 - 2015
- [c2]Deblin Bagchi, Michael I. Mandel, Zhongqiu Wang, Yanzhang He, Andrew R. Plummer, Eric Fosler-Lussier:
Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. ASRU 2015: 496-503 - [c1]Zhong-Qiu Wang, DeLiang Wang:
Joint training of speech separation, filterbank and acoustic model for robust automatic speech recognition. INTERSPEECH 2015: 2839-2843
Coauthor Index
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