Michael I. Mandel

Affiliations:
  • City University of New York, Graduate Center, NY, USA
  • Ohio State University, Columbus, OH, USA
  • Columbia University, New York, NY, USA (PhD 2010)


According to our database1, Michael I. Mandel authored at least 71 papers between 2004 and 2023.

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Bibliography

2023
Towards High Resolution Weather Monitoring with Sound Data.
CoRR, 2023

Estimating Shapley Values of Training Utterances for Automatic Speech Recognition Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Importantaug: A Data Augmentation Agent for Speech.
Proceedings of the IEEE International Conference on Acoustics, 2022

EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021
Directly Comparing the Listening Strategies of Humans and Machines.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Towards Large Scale Ecoacoustic Monitoring with Small Amounts of Labeled Data.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement.
CoRR, 2020

Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks.
CoRR, 2020

Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks.
CoRR, 2020

CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings.
CoRR, 2020

Large Scale Evaluation of Importance Maps in Automatic Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Identifying Important Time-Frequency Locations in Continuous Speech Utterances.
Proceedings of the Interspeech 2020, 2020

Mask-Dependent Phase Estimation for Monaural Speaker Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Speaker Independence of Neural Vocoders and Their Effect on Parametric Resynthesis Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Transfer Learning from Youtube Soundtracks to Tag Arctic Ecoacoustic Recordings.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Onssen: an open-source speech separation and enhancement library.
CoRR, 2019

Parametric Resynthesis With Neural Vocoders.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Speech Denoising by Parametric Resynthesis.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Unusable Spoken Response Detection with BLSTM Neural Networks.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Bubble Cooperative Networks for Identifying Important Speech Cues.
Proceedings of the Interspeech 2018, 2018

Concatenative Resynthesis with Improved Training Signals for Speech Enhancement.
Proceedings of the Interspeech 2018, 2018

Large Vocabulary Concatenative Resynthesis.
Proceedings of the Interspeech 2018, 2018

2017
Concatenative Resynthesis Using Twin Networks.
Proceedings of the Interspeech 2017, 2017

Active learning for low-resource speech recognition: Impact of selection size and language modeling data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An evaluation of score-informed methods for estimating fundamental frequency and power from polyphonic audio.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Analyzing Human and Machine Performance In Resolving Ambiguous Spoken Sentences.
Proceedings of the Workshop on Speech-Centric Natural Language Processing, 2017

Confused or not Confused?: Disentangling Brain Activity from EEG Data Using Bidirectional LSTM Recurrent Neural Networks.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

Multichannel Spatial Clustering Using Model-Based Source Separation.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

2016
Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions.
Proceedings of the Interspeech 2016, 2016

Directly Comparing the Listening Strategies of Humans and Machines.
Proceedings of the Interspeech 2016, 2016

Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks.
Proceedings of the Interspeech 2016, 2016

Deep beamforming networks for multi-channel speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Exciting estimated clean spectra for speech resynthesis.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Audio super-resolution using concatenative resynthesis.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Enforcing consistency in spectral masks using Markov random fields.
Proceedings of the 23rd European Signal Processing Conference, 2015

Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
Generalizing time-frequency importance functions across noises, talkers, and phonemes.
Proceedings of the INTERSPEECH 2014, 2014

Analysis-by-synthesis feature estimation for robust automatic speech recognition using spectral masks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Learning a concatenative resynthesis system for noise suppression.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Gestural Query Specification.
Proc. VLDB Endow., 2013

GestureQuery: A Multitouch Database Query Interface.
Proc. VLDB Endow., 2013

Learning an intelligibility map of individual utterances.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Classification based binaural dereverberation.
Proceedings of the INTERSPEECH 2013, 2013

The interactive join: recognizing gestures for database queries.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Learning Algorithms for the Classification Restricted Boltzmann Machine.
J. Mach. Learn. Res., 2012

A Study of Intonation in Three-Part Singing using the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT).
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2011
Contextual tag inference.
ACM Trans. Multim. Comput. Commun. Appl., 2011

Combining localization cues and source model constraints for binaural source separation.
Speech Commun., 2011

Autotagging music with conditional restricted Boltzmann machines
CoRR, 2011

Characterizing singing voice fundamental frequency trajectories.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

2010
Model-Based Expectation-Maximization Source Separation and Localization.
IEEE Trans. Speech Audio Process., 2010

Evaluating Source Separation Algorithms With Reverberant Speech.
IEEE Trans. Speech Audio Process., 2010

Learning Tags that Vary Within a Song.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Scalable Genre and Tag Prediction with Spectral Covariance.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

2009
The Ideal Interaural Parameter Mask: A bound on binaural separation systems.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Improving MIDI-audio alignment with acoustic features.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Evaluation of Algorithms Using Games: The Case of Music Tagging.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

2008
Active Learning for Interactive Multimedia Retrieval.
Proc. IEEE, 2008

Multiple-Instance Learning for Music Information Retrieval.
Proceedings of the ISMIR 2008, 2008

Source separation based on binaural cues and source model constraints.
Proceedings of the INTERSPEECH 2008, 2008

Cross-correlation of beat-synchronous representations for music similarity.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
A Web-Based Game for Collecting Music Metadata.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

2006
Support vector machine active learning for music retrieval.
Multim. Syst., 2006

An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A probability model for interaural phase difference.
Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, 2006

2005
Song-Level Features and Support Vector Machines for Music Classification.
Proceedings of the ISMIR 2005, 2005

2004
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Visual Hand Tracking Using Nonparametric Belief Propagation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Modeling Physical Capabilities of Humanoid Agents Using Motion Capture Dat.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004


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