Michael I. Mandel

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Active Learning

Speech Recognition

Top Venues

Publications

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 (2024)
Enis Berk Çoban, Megan Perra, Michael I. Mandel
Towards High Resolution Weather Monitoring With Sound Data. ICASSP (2024)
Enis Berk Çoban, Megan Perra, Michael I. Mandel
Towards High Resolution Weather Monitoring with Sound Data. CoRR (2023)
Ali Raza Syed, Michael I. Mandel
Estimating Shapley Values of Training Utterances for Automatic Speech Recognition Models. ICASSP (2023)
Enis Berk Çoban, Megan Perra, Dara Pir, Michael I. Mandel
EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska. DCASE (2022)
Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel
Importantaug: A Data Augmentation Agent for Speech. ICASSP (2022)
Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel
ImportantAug: a data augmentation agent for speech. CoRR (2021)
Viet Anh Trinh, Michael I. Mandel
Directly Comparing the Listening Strategies of Humans and Machines. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
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)
Enis Berk Çoban, Ali Raza Syed, Dara Pir, Michael I. Mandel
Towards Large Scale Ecoacoustic Monitoring with Small Amounts of Labeled Data. WASPAA (2021)
Viet Anh Trinh, Michael I. Mandel
Large Scale Evaluation of Importance Maps in Automatic Speech Recognition. INTERSPEECH (2020)
Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks. CoRR (2020)
Viet Anh Trinh, Michael I. Mandel
Large scale evaluation of importance maps in automatic speech recognition. CoRR (2020)
Zhaoheng Ni, Michael I. Mandel
Mask-Dependent Phase Estimation for Monaural Speaker Separation. ICASSP (2020)
Enis Berk Çoban, Dara Pir, Richard So, Michael I. Mandel
Transfer Learning from Youtube Soundtracks to Tag Arctic Ecoacoustic Recordings. ICASSP (2020)
Shinji Watanabe, Michael I. Mandel, Jon Barker, Emmanuel Vincent
CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings. CoRR (2020)
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 (2020)
Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement. CoRR (2020)
Hassan Salami Kavaki, Michael I. Mandel
Identifying Important Time-Frequency Locations in Continuous Speech Utterances. INTERSPEECH (2020)
Zhaoheng Ni, Félix Grèzes, Viet Anh Trinh, Michael I. Mandel
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks. CoRR (2020)
Soumi Maiti, Michael I. Mandel
Speaker Independence of Neural Vocoders and Their Effect on Parametric Resynthesis Speech Enhancement. ICASSP (2020)
Soumi Maiti, Michael I. Mandel
Parametric Resynthesis With Neural Vocoders. WASPAA (2019)
Soumi Maiti, Michael I. Mandel
Speech Denoising by Parametric Resynthesis. ICASSP (2019)
Zhaoheng Ni, Michael I. Mandel
Onssen: an open-source speech separation and enhancement library. CoRR (2019)
Soumi Maiti, Michael I. Mandel
Parametric Resynthesis with neural vocoders. CoRR (2019)
Soumi Maiti, Michael I. Mandel
Speech denoising by parametric resynthesis. CoRR (2019)
Soumi Maiti, Michael I. Mandel
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement. CoRR (2019)
Soumi Maiti, Joey Ching, Michael I. Mandel
Large Vocabulary Concatenative Resynthesis. INTERSPEECH (2018)
Ali Raza Syed, Viet Anh Trinh, Michael I. Mandel
Concatenative Resynthesis with Improved Training Signals for Speech Enhancement. INTERSPEECH (2018)
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)
Viet Anh Trinh, Brian McFee, Michael I. Mandel
Bubble Cooperative Networks for Identifying Important Speech Cues. INTERSPEECH (2018)
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)
Soumi Maiti, Michael I. Mandel
Concatenative Resynthesis Using Twin Networks. INTERSPEECH (2017)
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)
Johanna Devaney, Michael I. Mandel
An evaluation of score-informed methods for estimating fundamental frequency and power from polyphonic audio. ICASSP (2017)
Hussein Ghaly, Michael I. Mandel
Analyzing Human and Machine Performance In Resolving Ambiguous Spoken Sentences. SCNLP@EMNLP 2017 (2017)
Hakan Erdogan, John R. Hershey, Shinji Watanabe, Michael I. Mandel, Jonathan Le Roux
Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks. INTERSPEECH (2016)
Michael I. Mandel, Jon Barker
Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions. INTERSPEECH (2016)
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)
Michael I. Mandel
Directly Comparing the Listening Strategies of Humans and Machines. INTERSPEECH (2016)
Michael I. Mandel, Nicoleta Roman
Enforcing consistency in spectral masks using Markov random fields. EUSIPCO (2015)
Sreyas Srimath Tirumala, Michael I. Mandel
Exciting estimated clean spectra for speech resynthesis. WASPAA (2015)
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)
Michael I. Mandel, Young Suk Cho
Audio super-resolution using concatenative resynthesis. WASPAA (2015)
Michael I. Mandel, Young Suk Cho, Yuxuan Wang
Learning a concatenative resynthesis system for noise suppression. GlobalSIP (2014)
Michael I. Mandel, Arun Narayanan
Analysis-by-synthesis feature estimation for robust automatic speech recognition using spectral masks. ICASSP (2014)
Michael I. Mandel, Sarah E. Yoho, Eric W. Healy
Generalizing time-frequency importance functions across noises, talkers, and phonemes. INTERSPEECH (2014)
Arnab Nandi, Michael I. Mandel
The interactive join: recognizing gestures for database queries. CHI Extended Abstracts (2013)
Arnab Nandi, Lilong Jiang, Michael I. Mandel
Gestural Query Specification. Proc. VLDB Endow. 7 (4) (2013)
Nicoleta Roman, Michael I. Mandel
Classification based binaural dereverberation. INTERSPEECH (2013)
Lilong Jiang, Michael I. Mandel, Arnab Nandi
GestureQuery: A Multitouch Database Query Interface. Proc. VLDB Endow. 6 (12) (2013)
Michael I. Mandel
Learning an intelligibility map of individual utterances. WASPAA (2013)
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)
Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio
Learning Algorithms for the Classification Restricted Boltzmann Machine. J. Mach. Learn. Res. 13 (2012)
Johanna Devaney, Michael I. Mandel, Ichiro Fujinaga
Characterizing singing voice fundamental frequency trajectories. WASPAA (2011)
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) (2011)
Michael I. Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio
Autotagging music with conditional restricted Boltzmann machines CoRR (2011)
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) (2011)
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) (2010)
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) (2010)
Michael I. Mandel, Douglas Eck, Yoshua Bengio
Learning Tags that Vary Within a Song. ISMIR (2010)
James Bergstra, Michael I. Mandel, Douglas Eck
Scalable Genre and Tag Prediction with Spectral Covariance. ISMIR (2010)
Johanna Devaney, Michael I. Mandel, Daniel P. W. Ellis
Improving MIDI-audio alignment with acoustic features. WASPAA (2009)
Edith Law, Kris West, Michael I. Mandel, Mert Bay, J. Stephen Downie
Evaluation of Algorithms Using Games: The Case of Music Tagging. ISMIR (2009)
Michael I. Mandel, Daniel P. W. Ellis
The Ideal Interaural Parameter Mask: A bound on binaural separation systems. WASPAA (2009)
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) (2008)
Michael I. Mandel, Daniel P. W. Ellis
Multiple-Instance Learning for Music Information Retrieval. ISMIR (2008)
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Ellis
Source separation based on binaural cues and source model constraints. INTERSPEECH (2008)
Daniel P. W. Ellis, Courtenay V. Cotton, Michael I. Mandel
Cross-correlation of beat-synchronous representations for music similarity. ICASSP (2008)
Michael I. Mandel, Daniel P. W. Ellis
A Web-Based Game for Collecting Music Metadata. ISMIR (2007)
Michael I. Mandel, Daniel P. W. Ellis, Tony Jebara
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments. NIPS (2006)
Michael I. Mandel, Daniel P. W. Ellis
A probability model for interaural phase difference. SAPA@INTERSPEECH (2006)
Michael I. Mandel, Graham E. Poliner, Daniel P. W. Ellis
Support vector machine active learning for music retrieval. Multim. Syst. 12 (1) (2006)
Michael I. Mandel, Dan Ellis
Song-Level Features and Support Vector Machines for Music Classification. ISMIR (2005)
Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
Visual Hand Tracking Using Nonparametric Belief Propagation. CVPR Workshops (2004)
Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. NIPS (2004)
Gita Sukthankar, Michael I. Mandel, Katia Sycara-Cyranski, Jessica K. Hodgins
Modeling Physical Capabilities of Humanoid Agents Using Motion Capture Dat. AAMAS (2004)