Michael L. Seltzer

发表

Towards Language-Universal End-to-End Speech Recognition

Suyoun Kim, Michael L. Seltzer, M. Seltzer, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments

Richard M. Stern, Michael L. Seltzer, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models

Tasha Nagamine, Nima Mesgarani, Michael L. Seltzer, 2016, INTERSPEECH.

Speech in Noisy Environments: robust automatic segmentation, feature extraction, and hypothesis combination

Richard M. Stern, Bhiksha Raj, Rita Singh, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Likelihood-maximizing beamforming for robust hands-free speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2004, IEEE Transactions on Speech and Audio Processing.

Robust bandwidth extension of noise-corrupted narrowband speech

Alex Acero, Jasha Droppo, Michael L. Seltzer, 2005, INTERSPEECH.

Microphone Array Post-Filter using Incremental Bayes Learning to Track the Spatial Distributions of Speech and Noise

Alex Acero, Ivan Tashev, Michael L. Seltzer, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition

Alex Acero, Kaustubh Kalgaonkar, Michael L. Seltzer, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robustness is dead! Long live robustness!

Michael L. Seltzer, 2014 .

Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition pdf

Frank Zhang, Yongqiang Wang, Chunyang Wu, 2020, ArXiv.

An introduction to computational networks and the computational network toolkit (invited talk)

Geoffrey Zweig, Kaisheng Yao, Dong Yu, 2014, INTERSPEECH.

HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition

Alex Acero, Michael L. Seltzer, 2010, INTERSPEECH.

Large-Scale Domain Adaptation via Teacher-Student Learning pdf

Yifan Gong, Jinyu Li, Xi Wang, 2017, INTERSPEECH.

Deep neural network features and semi-supervised training for low resource speech recognition

Kenneth Ward Church, Hynek Hermansky, Samuel Thomas, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust speech recognition using cepstral minimum-mean-square-error noise suppressor

Yifan Gong, Dong Yu, Alex Acero, 2008 .

Noise adaptive training using a vector taylor series approach for noise robust automatic speech recognition

Alex Acero, Ozlem Kalinli, Michael L. Seltzer, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Data Driven Beamformer Design for Binaural Headset

Ivan Tashev, Michael L. Seltzer, M. Seltzer, 2008 .

Robust location understanding in spoken dialog systems using intersections

Alex Acero, Ivan Tashev, Michael L. Seltzer, 2007, INTERSPEECH.

Noise Adaptive Training for Robust Automatic Speech Recognition

Alex Acero, Jasha Droppo, Ozlem Kalinli, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

The influence of pitch and noise on the discriminability of filterbank features

Malcolm Slaney, Michael L. Seltzer, 2014, INTERSPEECH.

Improving perceived accuracy for in-car media search

Ivan Tashev, Michael L. Seltzer, Yun-Cheng Ju, 2009, INTERSPEECH.

Subband parameter optimization of microphone arrays for speech recognition in reverberant environments

Richard M. Stern, Michael L. Seltzer, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Weak-Attention Suppression For Transformer Based Speech Recognition

Yongqiang Wang, Chunyang Wu, Christian Fuegen, 2020, INTERSPEECH.

Robust design of wideband loudspeaker arrays

Alex Acero, Jasha Droppo, Ivan Tashev, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Parameter sharing in subband likelihood-maximizing beamforming for speech recognition using microphone arrays

Richard M. Stern, Michael L. Seltzer, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Towards a non-parametric acoustic model: an acoustic decision tree for observation probability calculation

Alex Acero, Jasha Droppo, Yu-Hsiang Bosco Chiu, 2008, INTERSPEECH.

Deep Shallow Fusion for RNN-T Personalization pdf

Gil Keren, Jay Mahadeokar, Christian Fuegen, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

A harmonic-model-based front end for robust speech recognition

Alex Acero, Jasha Droppo, Michael L. Seltzer, 2003, INTERSPEECH.

RNN-T For Latency Controlled ASR With Improved Beam Search pdf

Kjell Schubert, Kaustubh Kalgaonkar, Jay Mahadeokar, 2019, ArXiv.

Transformer-Transducer: End-to-End Speech Recognition with Self-Attention pdf

Kjell Schubert, Kaustubh Kalgaonkar, Yongqiang Wang, 2019, ArXiv.

G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR

Christian Fuegen, Michael L. Seltzer, Duc Le, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder

Yongqiang Wang, Zhehuai Chen, Christian Fuegen, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detection of Corrupted Speech Features for Robust Speech Recognition

Michael L. Seltzer, Mike Seltzer, M. Seltzer, 2000 .

Acoustic Model Training for Robust Speech Recognition

Michael L. Seltzer, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.

In-Car Media Search

Dong Yu, Ye-Yi Wang, Ivan Tashev, 2011, IEEE Signal Processing Magazine.

The data deluge: Challenges and opportunities of unlimited data in statistical signal processing

Lei Zhang, Michael L. Seltzer, Lei Zhang, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2004, Speech Commun..

Voice search of structured media data

Young-In Song, Alex Acero, Ye-Yi Wang, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Calibration routine for improved distortion performance in the VHF digitizer

Michael L. Seltzer, Mike Seltzer, 1998 .

Speech recognizer-based microphone array processing for robust hands-free speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Linearly augmented deep neural network

Jasha Droppo, Michael L. Seltzer, Pegah Ghahremani, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep beamforming networks for multi-channel speech recognition

Liang Lu, Xiong Xiao, Yu Zhang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Toward Human Parity in Conversational Speech Recognition

Geoffrey Zweig, Andreas Stolcke, Dong Yu, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Efficient Integration of Fixed Beamformers and Speech Separation Networks for Multi-Channel Far-Field Speech Separation

Xiong Xiao, Yifan Gong, Takuya Yoshioka, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-task learning in deep neural networks for improved phoneme recognition

Jasha Droppo, Michael L. Seltzer, J. Droppo, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards better performance with heterogeneous training data in acoustic modeling using deep neural networks

Yifan Gong, Yan Huang, Malcolm Slaney, 2014, INTERSPEECH.

Improvements to VTS feature enhancement

Yifan Gong, Michael L. Seltzer, Jinyu Li, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recent advances in deep learning for speech research at Microsoft

Geoffrey Zweig, Kaisheng Yao, Yifan Gong, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A study on data augmentation of reverberant speech for robust speech recognition

Sanjeev Khudanpur, Daniel Povey, Tom Ko, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Factored adaptation using a combination of feature-space and model-space transforms

Alex Acero, Michael L. Seltzer, 2012, INTERSPEECH.

Binary coding of speech spectrograms using a deep auto-encoder

Geoffrey E. Hinton, Dong Yu, Li Deng, 2010, INTERSPEECH.

Factored adaptation of speaker and environment using orthogonal subspace transforms

Hong-Goo Kang, Michael L. Seltzer, Hyunson Seo, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks pdf

Dong Yu, Jui-Ting Huang, Frank Seide, 2013, ICLR.

Stochastic Gradient Descent Algorithm in the Computational Network Toolkit

Dong Yu, Oleksii Kuchaiev, Brian Guenter, 2013 .

Robust Speech Recognition: The case for restoring missing features

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2001 .

Microphone array processing for robust speech recognition

Richard M. Stern, Michael L. Seltzer, M. Seltzer, 2003 .

Introduction to the Issue on Far-Field Speech Processing in the Era of Deep Learning: Speech Enhancement, Separation, and Recognition

Shinji Watanabe, Shoko Araki, Reinhold Häb-Umbach, 2019, IEEE J. Sel. Top. Signal Process..

Efficient VTS Adaptation Using Jacobian Approximation

Yifan Gong, Michael L. Seltzer, Jinyu Li, 2012, INTERSPEECH.

Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

Heiga Zen, Shinji Watanabe, Tomohiro Nakatani, 2019, IEEE Signal Processing Magazine.

Reconstruction of missing features for robust speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2004, Speech Commun..

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition

Geoffrey Zweig, Xiaohui Zhang, Yongqiang Wang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Commute UX: Telephone Dialog System for Location-based Services

Dong Yu, Alex Acero, Ivan Tashev, 2007, SIGdial.

Automatic Removal of Typed Keystrokes From Speech Signals

Alex Acero, Amarnag Subramanya, Michael L. Seltzer, 2007, IEEE Signal Processing Letters.

Speech Separation by Humans and Machines

Bhiksha Raj, Michael L. Seltzer, Manuel Reyes-Gomez, 2004 .

Classifier-based mask estimation for missing feature methods of robust speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2000, INTERSPEECH.

Exploring how deep neural networks form phonemic categories

Tasha Nagamine, Nima Mesgarani, Michael L. Seltzer, 2015, INTERSPEECH.

May I take your order? A Neural Model for Extracting Structured Information from Conversations

Kam-Fai Wong, Geoffrey Zweig, Baolin Peng, 2017, EACL.

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

Geoffrey Zweig, Xiaohui Zhang, Weiyi Zheng, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Reconstruction of damaged spectrographic features for robust speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2000, INTERSPEECH.

Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer pdf

Jay Mahadeokar, Christian Fuegen, Suyoun Kim, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks.

Jinyu Li, Dong Yu, Jui-Ting Huang, 2013, ICLR 2013.

Training Wideband Acoustic Models Using Mixed-Bandwidth Training Data for Speech Recognition

Alex Acero, Michael L. Seltzer, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR

Yongqiang Wang, Zhehuai Chen, Christian Fuegen, 2019, INTERSPEECH.

Training wideband acoustic models using mixed-bandwidth training data via feature bandwidth extension

Alex Acero, Michael L. Seltzer, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition

Dong Yu, Chao Weng, Jasha Droppo, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Calibration of microphone arrays for improved speech recognition

Bhiksha Raj, Michael L. Seltzer, 2001, INTERSPEECH.

Microphone Array for Headset with Spatial Noise Suppressor

Ivan Tashev, Alex Acero, Michael L. Seltzer, 2005 .

Improved Bottleneck Features Using Pretrained Deep Neural Networks

Dong Yu, Michael L. Seltzer, Dong Yu, 2011, INTERSPEECH.

Separating Speaker and Environmental Variability Using Factored Transforms

Alex Acero, Michael L. Seltzer, 2011, INTERSPEECH.

An investigation of deep neural networks for noise robust speech recognition

Yongqiang Wang, Dong Yu, Michael L. Seltzer, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Alignment Restricted Streaming Recurrent Neural Network Transducer pdf

Hang Su, Gil Keren, Jay Mahadeokar, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

Commute UX: Voice Enabled In-car Infotainment System

Alex Acero, Ye-Yi Wang, Ivan Tashev, 2009 .

Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition

Liang Lu, Xiong Xiao, Yu Zhang, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

Robust speech recognition using missing features

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2003 .

Factored adaptation for separable compensation of speaker and environmental variability

Alex Acero, Michael L. Seltzer, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Aipnet: Generative Adversarial Pre-Training of Accent-Invariant Networks for End-To-End Speech Recognition

Ching-Feng Yeh, Zhaojun Yang, Michael L. Seltzer, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech recognition with prediction-adaptation-correction recurrent neural networks

Yu Zhang, Dong Yu, Jasha Droppo, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint encoding of the waveform and speech recognition features using a transform codec

Henrique S. Malvar, Alex Acero, Jasha Droppo, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Single-channel mixed speech recognition using deep neural networks

Dong Yu, Chao Weng, Jasha Droppo, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

AUTOMATIC DETECTION OF CORRUPT SPECTROGRAPHIC FEATURES FOR ROBUST SPEECH RECOGNITION

Michael L. Seltzer, M. Seltzer, 2000 .

A Log-MMSE Adaptive Filter Using a non-Linear Spatial Filter

Ivan Tashev, Michael L. Seltzer, 2008 .

Noise robust model adaptation using linear spline interpolation

Alex Acero, Kaustubh Kalgaonkar, Michael L. Seltzer, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.