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ORCIDMichael I. Mandel
Person information
- affiliation: City University of New York, Graduate Center, NY, USA
- affiliation: Ohio State University, Columbus, OH, USA
- affiliation (PhD 2010): Columbia University, New York, NY, USA
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2020 – today
- 2024
[j11]Ali Raza Syed
, Enis Berk Çoban, Dara Pir, Michael I. Mandel:
Data-Centric Methods for Environmental Sound Classification With Limited Labels. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4288-4297 (2024)- [c53]Enis Berk Çoban, Megan Perra, Michael I. Mandel:
Towards High Resolution Weather Monitoring With Sound Data. ICASSP 2024: 1306-1310 - [i14]Enis Berk Çoban, Michael I. Mandel, Johanna Devaney:
What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models. CoRR abs/2406.04615 (2024) - 2023
- [c52]Ali Raza Syed, Michael I. Mandel:
Estimating Shapley Values of Training Utterances for Automatic Speech Recognition Models. ICASSP 2023: 1-5 - [i13]Enis Berk Çoban, Megan Perra, Michael I. Mandel:
Towards High Resolution Weather Monitoring with Sound Data. CoRR abs/2309.16867 (2023) - 2022
- [c51]Enis Berk Çoban, Megan Perra, Dara Pir, Michael I. Mandel:
EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska. DCASE 2022 - [c50]Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel:
Importantaug: A Data Augmentation Agent for Speech. ICASSP 2022: 8592-8596 - 2021
- [j10]Viet Anh Trinh, Michael I. Mandel:
Directly Comparing the Listening Strategies of Humans and Machines. IEEE ACM Trans. Audio Speech Lang. Process. 29: 312-323 (2021) - [c49]Zhaoheng Ni, Yong Xu, Meng Yu, Bo Wu, Shi-Xiong Zhang, Dong Yu, Michael I. Mandel:
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation. SLT 2021: 817-824 - [c48]Enis Berk Çoban, Ali Raza Syed, Dara Pir, Michael I. Mandel:
Towards Large Scale Ecoacoustic Monitoring with Small Amounts of Labeled Data. WASPAA 2021: 181-185 - [i12]Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel:
ImportantAug: a data augmentation agent for speech. CoRR abs/2112.07156 (2021) - 2020
- [c47]Soumi Maiti, Michael I. Mandel:
Speaker Independence of Neural Vocoders and Their Effect on Parametric Resynthesis Speech Enhancement. ICASSP 2020: 206-210 - [c46]Enis Berk Çoban, Dara Pir, Richard So, Michael I. Mandel:
Transfer Learning from Youtube Soundtracks to Tag Arctic Ecoacoustic Recordings. ICASSP 2020: 726-730 - [c45]Zhaoheng Ni, Michael I. Mandel:
Mask-Dependent Phase Estimation for Monaural Speaker Separation. ICASSP 2020: 7269-7273 - [c44]Viet Anh Trinh, Michael I. Mandel:
Large Scale Evaluation of Importance Maps in Automatic Speech Recognition. INTERSPEECH 2020: 1166-1170 - [c43]Hassan Salami Kavaki, Michael I. Mandel:
Identifying Important Time-Frequency Locations in Continuous Speech Utterances. INTERSPEECH 2020: 1639-1643 - [i11]Shinji Watanabe, Michael I. Mandel, Jon Barker, Emmanuel Vincent:
CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings. CoRR abs/2004.09249 (2020) - [i10]Viet Anh Trinh, Michael I. Mandel:
Large scale evaluation of importance maps in automatic speech recognition. CoRR abs/2005.10929 (2020) - [i9]Zhaoheng Ni, Yong Xu, Meng Yu, Bo Wu, Shi-Xiong Zhang, Dong Yu, Michael I. Mandel:
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation. CoRR abs/2011.09162 (2020) - [i8]Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks. CoRR abs/2012.01576 (2020) - [i7]Zhaoheng Ni, Félix Grèzes, Viet Anh Trinh, Michael I. Mandel:
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks. CoRR abs/2012.02191 (2020) - [i6]Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement. CoRR abs/2012.03388 (2020)
2010 – 2019
- 2019
- [c42]Soumi Maiti, Michael I. Mandel:
Speech Denoising by Parametric Resynthesis. ICASSP 2019: 6995-6999 - [c41]Soumi Maiti, Michael I. Mandel:
Parametric Resynthesis With Neural Vocoders. WASPAA 2019: 303-307 - [e2]Michael I. Mandel, Justin Salamon, Daniel P. W. Ellis:
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), New York University, NY, USA, October 2019. 2019, ISBN 978-0-578-59596-2 [contents] - [i5]Soumi Maiti, Michael I. Mandel:
Speech denoising by parametric resynthesis. CoRR abs/1904.01537 (2019) - [i4]Soumi Maiti, Michael I. Mandel:
Parametric Resynthesis with neural vocoders. CoRR abs/1906.06762 (2019) - [i3]Zhaoheng Ni, Michael I. Mandel:
Onssen: an open-source speech separation and enhancement library. CoRR abs/1911.00982 (2019) - [i2]Soumi Maiti, Michael I. Mandel:
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement. CoRR abs/1911.06266 (2019) - 2018
- [c40]Soumi Maiti, Joey Ching, Michael I. Mandel:
Large Vocabulary Concatenative Resynthesis. INTERSPEECH 2018: 1190-1194 - [c39]Ali Raza Syed, Viet Anh Trinh, Michael I. Mandel:
Concatenative Resynthesis with Improved Training Signals for Speech Enhancement. INTERSPEECH 2018: 1195-1199 - [c38]Viet Anh Trinh, Brian McFee, Michael I. Mandel:
Bubble Cooperative Networks for Identifying Important Speech Cues. INTERSPEECH 2018: 1616-1620 - [c37]Zhaoheng Ni, Rutuja Ubale, Yao Qian, Michael I. Mandel, Su-Youn Yoon, Abhinav Misra, David Suendermann-Oeft:
Unusable Spoken Response Detection with BLSTM Neural Networks. ISCSLP 2018: 255-259 - 2017
- [c36]Zhaoheng Ni, Ahmet Cem Yuksel, Xiuyan Ni, Michael I. Mandel, Lei Xie:
Confused or not Confused?: Disentangling Brain Activity from EEG Data Using Bidirectional LSTM Recurrent Neural Networks. BCB 2017: 241-246 - [c35]Hussein Ghaly, Michael I. Mandel:
Analyzing Human and Machine Performance In Resolving Ambiguous Spoken Sentences. SCNLP@EMNLP 2017 2017: 18-26 - [c34]Johanna Devaney, Michael I. Mandel:
An evaluation of score-informed methods for estimating fundamental frequency and power from polyphonic audio. ICASSP 2017: 181-185 - [c33]Ali Raza Syed, Andrew Rosenberg, Michael I. Mandel:
Active learning for low-resource speech recognition: Impact of selection size and language modeling data. ICASSP 2017: 5315-5319 - [c32]Soumi Maiti, Michael I. Mandel:
Concatenative Resynthesis Using Twin Networks. INTERSPEECH 2017: 3647-3651 - [p2]Michael I. Mandel, Jon P. Barker:
Multichannel Spatial Clustering Using Model-Based Source Separation. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 51-77 - [p1]Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Michael I. Mandel, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Dong Yu:
Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 79-104 - 2016
- [c31]Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Michael I. Mandel, Dong Yu:
Deep beamforming networks for multi-channel speech recognition. ICASSP 2016: 5745-5749 - [c30]Michael I. Mandel:
Directly Comparing the Listening Strategies of Humans and Machines. INTERSPEECH 2016: 660-664 - [c29]Hakan Erdogan, John R. Hershey, Shinji Watanabe, Michael I. Mandel, Jonathan Le Roux:
Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks. INTERSPEECH 2016: 1981-1985 - [c28]Michael I. Mandel, Jon Barker:
Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions. INTERSPEECH 2016: 1991-1995 - [e1]Michael I. Mandel, Johanna Devaney, Douglas Turnbull, George Tzanetakis:
Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016. 2016, ISBN 978-0-692-75506-8 [contents] - 2015
- [c27]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 - [c26]Michael I. Mandel, Nicoleta Roman:
Enforcing consistency in spectral masks using Markov random fields. EUSIPCO 2015: 2028-2032 - [c25]Michael I. Mandel, Young Suk Cho:
Audio super-resolution using concatenative resynthesis. WASPAA 2015: 1-5 - [c24]Sreyas Srimath Tirumala, Michael I. Mandel:
Exciting estimated clean spectra for speech resynthesis. WASPAA 2015: 1-5 - 2014
- [c23]Michael I. Mandel, Young Suk Cho, Yuxuan Wang:
Learning a concatenative resynthesis system for noise suppression. GlobalSIP 2014: 582-586 - [c22]Michael I. Mandel, Arun Narayanan:
Analysis-by-synthesis feature estimation for robust automatic speech recognition using spectral masks. ICASSP 2014: 2509-2513 - [c21]Michael I. Mandel, Sarah E. Yoho, Eric W. Healy:
Generalizing time-frequency importance functions across noises, talkers, and phonemes. INTERSPEECH 2014: 2016-2020 - 2013
- [j9]Lilong Jiang, Michael I. Mandel, Arnab Nandi:
GestureQuery: A Multitouch Database Query Interface. Proc. VLDB Endow. 6(12): 1342-1345 (2013) - [j8]Arnab Nandi, Lilong Jiang, Michael I. Mandel:
Gestural Query Specification. Proc. VLDB Endow. 7(4): 289-300 (2013) - [c20]Arnab Nandi, Michael I. Mandel:
The interactive join: recognizing gestures for database queries. CHI Extended Abstracts 2013: 1203-1208 - [c19]Nicoleta Roman, Michael I. Mandel:
Classification based binaural dereverberation. INTERSPEECH 2013: 3249-3253 - [c18]Michael I. Mandel:
Learning an intelligibility map of individual utterances. WASPAA 2013: 1-4 - 2012
- [j7]Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio:
Learning Algorithms for the Classification Restricted Boltzmann Machine. J. Mach. Learn. Res. 13: 643-669 (2012) - [c17]Johanna Devaney, Michael I. Mandel, Ichiro Fujinaga:
A Study of Intonation in Three-Part Singing using the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT). ISMIR 2012: 511-516 - 2011
- [j6]Ron J. Weiss, Michael I. Mandel, Daniel P. W. Ellis:
Combining localization cues and source model constraints for binaural source separation. Speech Commun. 53(5): 606-621 (2011) - [j5]Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca Maria Aiello, Rossano Schifanella, Filippo Menczer:
Contextual tag inference. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 32 (2011) - [c16]Johanna Devaney, Michael I. Mandel, Ichiro Fujinaga:
Characterizing singing voice fundamental frequency trajectories. WASPAA 2011: 73-76 - [i1]Michael I. Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio:
Autotagging music with conditional restricted Boltzmann machines. CoRR abs/1103.2832 (2011) - 2010
- [j4]Michael I. Mandel, Ron J. Weiss, Daniel P. W. Ellis:
Model-Based Expectation-Maximization Source Separation and Localization. IEEE Trans. Speech Audio Process. 18(2): 382-394 (2010) - [j3]Michael I. Mandel, Scott Bressler, Barbara G. Shinn-Cunningham, Daniel P. W. Ellis:
Evaluating Source Separation Algorithms With Reverberant Speech. IEEE Trans. Speech Audio Process. 18(7): 1872-1883 (2010) - [c15]Michael I. Mandel, Douglas Eck, Yoshua Bengio:
Learning Tags that Vary Within a Song. ISMIR 2010: 399-404 - [c14]James Bergstra, Michael I. Mandel, Douglas Eck:
Scalable Genre and Tag Prediction with Spectral Covariance. ISMIR 2010: 507-512
2000 – 2009
- 2009
- [c13]Edith Law, Kris West, Michael I. Mandel, Mert Bay, J. Stephen Downie:
Evaluation of Algorithms Using Games: The Case of Music Tagging. ISMIR 2009: 387-392 - [c12]Johanna Devaney, Michael I. Mandel, Daniel P. W. Ellis:
Improving MIDI-audio alignment with acoustic features. WASPAA 2009: 45-48 - [c11]Michael I. Mandel, Daniel P. W. Ellis:
The Ideal Interaural Parameter Mask: A bound on binaural separation systems. WASPAA 2009: 85-88 - 2008
- [j2]Thomas S. Huang, Charlie K. Dagli, Shyamsundar Rajaram, Edward Y. Chang, Michael I. Mandel, Graham E. Poliner, Daniel P. W. Ellis:
Active Learning for Interactive Multimedia Retrieval. Proc. IEEE 96(4): 648-667 (2008) - [c10]Daniel P. W. Ellis, Courtenay V. Cotton, Michael I. Mandel:
Cross-correlation of beat-synchronous representations for music similarity. ICASSP 2008: 57-60 - [c9]Ron J. Weiss, Michael I. Mandel, Daniel P. W. Ellis:
Source separation based on binaural cues and source model constraints. INTERSPEECH 2008: 419-422 - [c8]Michael I. Mandel, Daniel P. W. Ellis:
Multiple-Instance Learning for Music Information Retrieval. ISMIR 2008: 577-582 - 2007
- [c7]Michael I. Mandel, Daniel P. W. Ellis:
A Web-Based Game for Collecting Music Metadata. ISMIR 2007: 365-366 - 2006
- [j1]Michael I. Mandel, Graham E. Poliner, Daniel P. W. Ellis:
Support vector machine active learning for music retrieval. Multim. Syst. 12(1): 3-13 (2006) - [c6]Michael I. Mandel, Daniel P. W. Ellis:
A probability model for interaural phase difference. SAPA@INTERSPEECH 2006: 1-6 - [c5]Michael I. Mandel, Daniel P. W. Ellis, Tony Jebara:
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments. NIPS 2006: 953-960 - 2005
- [c4]Michael I. Mandel, Dan Ellis:
Song-Level Features and Support Vector Machines for Music Classification. ISMIR 2005: 594-599 - 2004
- [c3]Gita Sukthankar, Michael I. Mandel, Katia Sycara-Cyranski, Jessica K. Hodgins:
Modeling Physical Capabilities of Humanoid Agents Using Motion Capture Dat. AAMAS 2004: 344-351 - [c2]Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky:
Visual Hand Tracking Using Nonparametric Belief Propagation. CVPR Workshops 2004: 189 - [c1]Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky:
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. NIPS 2004: 1369-1376
Coauthor Index
Daniel P. W. Ellis
aka: Dan Ellis
aka: Dan Ellis
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