Reconstruction of damaged spectrographic features for robust speech recognition. - Bhiksha Raj; Michael L. Seltzer; Richard M. Stern (INTERSPEECH, 2000)

Classifier-based mask estimation for missing feature methods of robust speech recognition. - Michael L. Seltzer; Bhiksha Raj; Richard M. Stern (INTERSPEECH, 2000)

Speech in Noisy Environments: robust automatic segmentation, feature extraction, and hypothesis combination. - Rita Singh; Michael L. Seltzer; Bhiksha Raj; Richard M. Stern (ICASSP, 2001)

Calibration of microphone arrays for improved speech recognition. - Michael L. Seltzer; Bhiksha Raj (INTERSPEECH, 2001)

Speech recognizer-based microphone array processing for robust hands-free speech recognition. - Michael L. Seltzer; Bhiksha Raj; Richard M. Stern (ICASSP, 2002)

Subband parameter optimization of microphone arrays for speech recognition in reverberant environments. - Michael L. Seltzer; Richard M. Stern (ICASSP (1), 2003)

A harmonic-model-based front end for robust speech recognition. - Michael L. Seltzer; Jasha Droppo; Alex Acero (INTERSPEECH, 2003)

Speech-recognizer-based filter optimization for microphone array processing. - Michael L. Seltzer; Bhiksha Raj (IEEE Signal Process. Lett., 2003)

Parameter sharing in subband likelihood-maximizing beamforming for speech recognition using microphone arrays. - Michael L. Seltzer; Richard M. Stern (ICASSP (1), 2004)

Reconstruction of missing features for robust speech recognition. - Bhiksha Raj; Michael L. Seltzer; Richard M. Stern (Speech Commun., 2004)

A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition. - Michael L. Seltzer; Bhiksha Raj; Richard M. Stern (Speech Commun., 2004)

Likelihood-maximizing beamforming for robust hands-free speech recognition. - Michael L. Seltzer; Bhiksha Raj; Richard M. Stern (IEEE Trans. Speech Audio Process., 2004)

Speech Recognizer Based Maximum Likelihood Beamforming. - Bhiksha Raj; Michael L. Seltzer; Manuel Jesus Reyes-Gomez (Speech Separation by Humans and Machines, 2005)

Training Wideband Acoustic Models using Mixed-Bandwidth Training Data via Feature Bandwidth Extension. - Michael L. Seltzer; Alex Acero (ICASSP (1), 2005)

Robust bandwidth extension of noise-corrupted narrowband speech. - Michael L. Seltzer; Alex Acero; Jasha Droppo (INTERSPEECH, 2005)

Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments. - Michael L. Seltzer; Richard M. Stern (IEEE Trans. Speech Audio Process., 2006)

Microphone Array Post-Filter using Incremental Bayes Learning to Track the Spatial Distributions of Speech and Noise. - Michael L. Seltzer; Ivan Tashev; Alex Acero (ICASSP (1), 2007)

Robust location understanding in spoken dialog systems using intersections. - Michael L. Seltzer; Yun-Cheng Ju; Ivan Tashev; Alex Acero (INTERSPEECH, 2007)

Commute UX: Telephone Dialog System for Location-based Services. - Ivan Tashev; Michael L. Seltzer; Yun-Cheng Ju; Dong Yu 001; Alex Acero (SIGdial, 2007)

Automatic Removal of Typed Keystrokes From Speech Signals. - Amarnag Subramanya; Michael L. Seltzer; Alejandro Acero (IEEE Signal Process. Lett., 2007)

Training Wideband Acoustic Models Using Mixed-Bandwidth Training Data for Speech Recognition. - Michael L. Seltzer; Alex Acero (IEEE Trans. Speech Audio Process., 2007)

Robust design of wideband loudspeaker arrays. - Ivan Tashev; Jasha Droppo; Michael L. Seltzer; Alex Acero (ICASSP, 2008)

Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources. - Graham W. Taylor; Michael L. Seltzer; Alex Acero (ICASSP, 2008)

Towards a non-parametric acoustic model: an acoustic decision tree for observation probability calculation. - Jasha Droppo; Michael L. Seltzer; Alex Acero; Yu-Hsiang Bosco Chiu (INTERSPEECH, 2008)

Noise robust model adaptation using linear spline interpolation. - Kaustubh Kalgaonkar; Michael L. Seltzer; Alex Acero (ASRU, 2009)

Noise adaptive training using a vector taylor series approach for noise robust automatic speech recognition. - Ozlem Kalinli; Michael L. Seltzer; Alex Acero (ICASSP, 2009)

The data deluge: Challenges and opportunities of unlimited data in statistical signal processing. - Michael L. Seltzer; Lei Zhang 001 (ICASSP, 2009)

Voice search of structured media data. - Young-In Song; Ye-Yi Wang; Yun-Cheng Ju; Michael L. Seltzer; Ivan Tashev; Alex Acero (ICASSP, 2009)

Improving perceived accuracy for in-car media search. - Yun-Cheng Ju; Michael L. Seltzer; Ivan Tashev (INTERSPEECH, 2009)

Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition. - Michael L. Seltzer; Alex Acero; Kaustubh Kalgaonkar (ICASSP, 2010)

Binary coding of speech spectrograms using a deep auto-encoder. - Li Deng 001; Michael L. Seltzer; Dong Yu 001; Alex Acero; Abdel-rahman Mohamed; Geoffrey E. Hinton (INTERSPEECH, 2010)

HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition. - Michael L. Seltzer; Alex Acero (INTERSPEECH, 2010)

Noise Adaptive Training for Robust Automatic Speech Recognition. - Ozlem Kalinli; Michael L. Seltzer; Jasha Droppo; Alex Acero (IEEE Trans. Speech Audio Process., 2010)

Factored adaptation for separable compensation of speaker and environmental variability. - Michael L. Seltzer; Alex Acero (ASRU, 2011)

Joint encoding of the waveform and speech recognition features using a transform codec. - Xing Fan; Michael L. Seltzer; Jasha Droppo; Henrique S. Malvar; Alex Acero (ICASSP, 2011)

CROWDMOS: An approach for crowdsourcing mean opinion score studies. - Flavio P. Ribeiro; Dinei A. F. Florêncio; Cha Zhang; Michael L. Seltzer (ICASSP, 2011)

Separating Speaker and Environmental Variability Using Factored Transforms. - Michael L. Seltzer; Alex Acero (INTERSPEECH, 2011)

Improved Bottleneck Features Using Pretrained Deep Neural Networks. - Dong Yu 001; Michael L. Seltzer (INTERSPEECH, 2011)

In-Car Media Search. - Michael L. Seltzer; Yun-Cheng Ju; Ivan Tashev; Ye-Yi Wang; Dong Yu 001 (IEEE Signal Process. Mag., 2011)

Acoustic Model Training for Robust Speech Recognition. - Michael L. Seltzer (Techniques for Noise Robustness in Automatic Speech Recognition, 2012)

Improvements to VTS feature enhancement. - Jinyu Li 001; Michael L. Seltzer; Yifan Gong 001 (ICASSP, 2012)

Efficient VTS Adaptation Using Jacobian Approximation. - Jinyu Li 001; Michael L. Seltzer; Yifan Gong 001 (INTERSPEECH, 2012)

Factored adaptation using a combination of feature-space and model-space transforms. - Michael L. Seltzer; Alex Acero (INTERSPEECH, 2012)

Recent advances in deep learning for speech research at Microsoft. - Li Deng 001; Jinyu Li 001; Jui-Ting Huang; Kaisheng Yao; Dong Yu 001; Frank Seide; Michael L. Seltzer; Geoffrey Zweig; Xiaodong He 001; Jason D. Williams; Yifan Gong 001; Alex Acero (ICASSP, 2013)

Multi-task learning in deep neural networks for improved phoneme recognition. - Michael L. Seltzer; Jasha Droppo (ICASSP, 2013)

An investigation of deep neural networks for noise robust speech recognition. - Michael L. Seltzer; Dong Yu 001; Yongqiang Wang 005 (ICASSP, 2013)

Deep neural network features and semi-supervised training for low resource speech recognition. - Samuel Thomas 001; Michael L. Seltzer; Kenneth Church 001; Hynek Hermansky (ICASSP, 2013)

Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks - Dong Yu 001; Michael L. Seltzer; Jinyu Li 001; Jui-Ting Huang; Frank Seide (ICLR, 2013)

Factored adaptation of speaker and environment using orthogonal subspace transforms. - Hyunson Seo; Hong-Goo Kang; Michael L. Seltzer (ICASSP, 2014)

Single-channel mixed speech recognition using deep neural networks. - Chao Weng; Dong Yu 001; Michael L. Seltzer; Jasha Droppo (ICASSP, 2014)

Towards better performance with heterogeneous training data in acoustic modeling using deep neural networks. - Yan Huang 028; Malcolm Slaney; Michael L. Seltzer; Yifan Gong 001 (INTERSPEECH, 2014)

The influence of pitch and noise on the discriminability of filterbank features. - Malcolm Slaney; Michael L. Seltzer (INTERSPEECH, 2014)

An introduction to computational networks and the computational network toolkit (invited talk). - Dong Yu 001; Adam Eversole; Michael L. Seltzer; Kaisheng Yao; Brian Guenter; Oleksii Kuchaiev; Frank Seide; Huaming Wang; Jasha Droppo; Zhiheng Huang; Geoffrey Zweig; Christopher J. Rossbach; et al. (INTERSPEECH, 2014)

Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning. - Ritwik Giri; Michael L. Seltzer; Jasha Droppo; Dong Yu 001 (ICASSP, 2015)

Speech recognition with prediction-adaptation-correction recurrent neural networks. - Yu Zhang 033; Dong Yu 001; Michael L. Seltzer; Jasha Droppo (ICASSP, 2015)

Exploring how deep neural networks form phonemic categories. - Tasha Nagamine; Michael L. Seltzer; Nima Mesgarani (INTERSPEECH, 2015)

Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition. - Chao Weng; Dong Yu 001; Michael L. Seltzer; Jasha Droppo (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Linearly augmented deep neural network. - Pegah Ghahremani; Jasha Droppo; Michael L. Seltzer (ICASSP, 2016)

Deep beamforming networks for multi-channel speech recognition. - Xiong Xiao; Shinji Watanabe 001; Hakan Erdogan; Liang Lu 001; John R. Hershey; Michael L. Seltzer; Guoguo Chen; Yu Zhang 033; Michael I. Mandel; Dong Yu 001 (ICASSP, 2016)

On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models. - Tasha Nagamine; Michael L. Seltzer; Nima Mesgarani (INTERSPEECH, 2016)

Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition. - Xiong Xiao; Shinji Watanabe 001; Hakan Erdogan; Michael I. Mandel; Liang Lu 001; John R. Hershey; Michael L. Seltzer; Guoguo Chen; Yu Zhang 033; Dong Yu 001 (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

May I take your order? A Neural Model for Extracting Structured Information from Conversations. - Baolin Peng; Michael L. Seltzer; Y. C. Ju; Geoffrey Zweig; Kam-Fai Wong (EACL (1), 2017)

A study on data augmentation of reverberant speech for robust speech recognition. - Tom Ko; Vijayaditya Peddinti; Daniel Povey; Michael L. Seltzer; Sanjeev Khudanpur (ICASSP, 2017)

Large-Scale Domain Adaptation via Teacher-Student Learning. - Jinyu Li 001; Michael L. Seltzer; Xi Wang; Rui Zhao 017; Yifan Gong 001 (INTERSPEECH, 2017)

Toward Human Parity in Conversational Speech Recognition. - Wayne Xiong; Jasha Droppo; Xuedong Huang 001; Frank Seide; Michael L. Seltzer; Andreas Stolcke; Dong Yu 001; Geoffrey Zweig (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Efficient Integration of Fixed Beamformers and Speech Separation Networks for Multi-Channel Far-Field Speech Separation. - Zhuo Chen 006; Takuya Yoshioka; Xiong Xiao; Linyu Li 007; Michael L. Seltzer; Yifan Gong 001 (ICASSP, 2018)

Towards Language-Universal End-to-End Speech Recognition. - Suyoun Kim; Michael L. Seltzer (ICASSP, 2018)

Improved Training for Online End-to-end Speech Recognition Systems. - Suyoun Kim; Michael L. Seltzer; Jinyu Li 001; Rui Zhao 017 (INTERSPEECH, 2018)

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. - Duc Le; Xiaohui Zhang 007; Weiyi Zheng; Christian Fügen; Geoffrey Zweig; Michael L. Seltzer (ASRU, 2019)

End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder. - Zhehuai Chen; Mahaveer Jain; Yongqiang Wang 005; Michael L. Seltzer; Christian Fuegen (ICASSP, 2019)

Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR. - Zhehuai Chen; Mahaveer Jain; Yongqiang Wang 005; Michael L. Seltzer; Christian Fuegen (INTERSPEECH, 2019)

Transformer-Transducer: End-to-End Speech Recognition with Self-Attention. - Ching-Feng Yeh; Jay Mahadeokar; Kaustubh Kalgaonkar; Yongqiang Wang 005; Duc Le; Mahaveer Jain; Kjell Schubert; Christian Fuegen; Michael L. Seltzer (CoRR, 2019)

RNN-T For Latency Controlled ASR With Improved Beam Search. - Mahaveer Jain; Kjell Schubert; Jay Mahadeokar; Ching-Feng Yeh; Kaustubh Kalgaonkar; Anuroop Sriram; Christian Fuegen; Michael L. Seltzer (CoRR, 2019)

Introduction to the Issue on Far-Field Speech Processing in the Era of Deep Learning: Speech Enhancement, Separation, and Recognition. - Shinji Watanabe 001; Shoko Araki; Michiel Bacchiani; Reinhold Haeb-Umbach; Michael L. Seltzer (IEEE J. Sel. Top. Signal Process., 2019)

Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques. - Reinhold Haeb-Umbach; Shinji Watanabe 001; Tomohiro Nakatani; Michiel Bacchiani; Björn Hoffmeister; Michael L. Seltzer; Heiga Zen; Mehrez Souden (IEEE Signal Process. Mag., 2019)

Aipnet: Generative Adversarial Pre-Training of Accent-Invariant Networks for End-To-End Speech Recognition. - Yi-Chen Chen; Zhaojun Yang; Ching-Feng Yeh; Mahaveer Jain; Michael L. Seltzer (ICASSP, 2020)

G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. - Duc Le; Thilo Köhler; Christian Fuegen; Michael L. Seltzer (ICASSP, 2020)

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. - Yongqiang Wang 005; Abdelrahman Mohamed; Duc Le; Chunxi Liu; Alex Xiao; Jay Mahadeokar; Hongzhao Huang; Andros Tjandra; Xiaohui Zhang 007; Frank Zhang 001; Christian Fuegen; Geoffrey Zweig; et al. (ICASSP, 2020)

Weak-Attention Suppression for Transformer Based Speech Recognition. - Yangyang Shi; Yongqiang Wang 005; Chunyang Wu; Christian Fuegen; Frank Zhang 001; Duc Le; Ching-Feng Yeh; Michael L. Seltzer (INTERSPEECH, 2020)

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition. - Yangyang Shi; Yongqiang Wang 005; Chunyang Wu; Ching-Feng Yeh; Julian Chan; Frank Zhang 001; Duc Le; Michael L. Seltzer (CoRR, 2020)

Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. - Suyoun Kim; Yuan Shangguan; Jay Mahadeokar; Antoine Bruguier; Christian Fuegen; Michael L. Seltzer; Duc Le (ICASSP, 2021)

Memory-Efficient Speech Recognition on Smart Devices. - Ganesh Venkatesh; Alagappan Valliappan; Jay Mahadeokar; Yuan Shangguan; Christian Fuegen; Michael L. Seltzer; Vikas Chandra (ICASSP, 2021)

Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. - Suyoun Kim; Abhinav Arora; Duc Le; Ching-Feng Yeh; Christian Fuegen; Ozlem Kalinli; Michael L. Seltzer (Interspeech, 2021)

Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. - Duc Le; Mahaveer Jain; Gil Keren; Suyoun Kim; Yangyang Shi; Jay Mahadeokar; Julian Chan; Yuan Shangguan; Christian Fuegen; Ozlem Kalinli; Yatharth Saraf; Michael L. Seltzer (Interspeech, 2021)

Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios. - Jay Mahadeokar; Yangyang Shi; Yuan Shangguan; Chunyang Wu; Alex Xiao; Hang Su; Duc Le; Ozlem Kalinli; Christian Fuegen; Michael L. Seltzer (Interspeech, 2021)

Collaborative Training of Acoustic Encoders for Speech Recognition. - Varun Nagaraja; Yangyang Shi; Ganesh Venkatesh; Ozlem Kalinli; Michael L. Seltzer; Vikas Chandra (Interspeech, 2021)

Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. - Yuan Shangguan; Rohit Prabhavalkar; Hang Su; Jay Mahadeokar; Yangyang Shi; Jiatong Zhou; Chunyang Wu; Duc Le; Ozlem Kalinli; Christian Fuegen; Michael L. Seltzer (Interspeech, 2021)

Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency. - Yangyang Shi; Varun Nagaraja; Chunyang Wu; Jay Mahadeokar; Duc Le; Rohit Prabhavalkar; Alex Xiao; Ching-Feng Yeh; Julian Chan; Christian Fuegen; Ozlem Kalinli; Michael L. Seltzer (Interspeech, 2021)

Deep Shallow Fusion for RNN-T Personalization. - Duc Le; Gil Keren; Julian Chan; Jay Mahadeokar; Christian Fuegen; Michael L. Seltzer (SLT, 2021)

Alignment Restricted Streaming Recurrent Neural Network Transducer. - Jay Mahadeokar; Yuan Shangguan; Duc Le; Gil Keren; Hang Su; Thong Le; Ching-Feng Yeh; Christian Fuegen; Michael L. Seltzer (SLT, 2021)

Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition. - Ching-Feng Yeh; Yongqiang Wang 005; Yangyang Shi; Chunyang Wu; Frank Zhang 001; Julian Chan; Michael L. Seltzer (SLT, 2021)

Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios. - Jay Mahadeokar; Yangyang Shi; Yuan Shangguan; Chunyang Wu; Alex Xiao; Hang Su; Duc Le; Ozlem Kalinli; Christian Fuegen; Michael L. Seltzer (CoRR, 2021)

Neural-FST Class Language Model for End-to-End Speech Recognition. - Antoine Bruguier; Duc Le; Rohit Prabhavalkar; Dangna Li; Zhe Liu 011; Bo Wang; Eun Chang; Fuchun Peng; Ozlem Kalinli; Michael L. Seltzer (ICASSP, 2022)

Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. - Suyoun Kim; Duc Le; Weiyi Zheng; Tarun Singh; Abhinav Arora; Xiaoyu Zhai; Christian Fuegen; Ozlem Kalinli; Michael L. Seltzer (INTERSPEECH, 2022)

Deliberation Model for On-Device Spoken Language Understanding. - Duc Le; Akshat Shrivastava; Paden D. Tomasello; Suyoun Kim; Aleksandr Livshits; Ozlem Kalinli; Michael L. Seltzer (INTERSPEECH, 2022)

Streaming parallel transducer beam search with fast slow cascaded encoders. - Jay Mahadeokar; Yangyang Shi; Ke Li 023; Duc Le; Jiedan Zhu; Vikas Chandra; Ozlem Kalinli; Michael L. Seltzer (INTERSPEECH, 2022)

Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. - Duc Le; Frank Seide; Yuhao Wang; Yang Li 183; Kjell Schubert; Ozlem Kalinli; Michael L. Seltzer (ICASSP, 2023)

Improving fast-slow Encoder based Transducer with Streaming Deliberation. - Ke Li 023; Jay Mahadeokar; Jinxi Guo; Yangyang Shi; Gil Keren; Ozlem Kalinli; Michael L. Seltzer; Duc Le (ICASSP, 2023)

Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. - Andros Tjandra; Nayan Singhal; David Zhang; Ozlem Kalinli; Abdelrahman Mohamed; Duc Le; Michael L. Seltzer (ICASSP, 2023)

Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. - Suyoun Kim; Akshat Shrivastava; Duc Le; Ju Lin; Ozlem Kalinli; Michael L. Seltzer (INTERSPEECH, 2023)

Augmenting text for spoken language understanding with Large Language Models. - Roshan Sharma; Suyoun Kim; Daniel Lazar; Trang Le; Akshat Shrivastava; Kwanghoon Ahn; Piyush Kansal; Leda Sari; Ozlem Kalinli; Michael L. Seltzer (CoRR, 2023)

End-to-End Speech Recognition Contextualization with Large Language Models. - Egor Lakomkin; Chunyang Wu; Yassir Fathullah; Ozlem Kalinli; Michael L. Seltzer; Christian Fuegen (ICASSP, 2024)

Towards measuring fairness in speech recognition: Fair-Speech dataset. - Irina-Elena Veliche; Zhuangqun Huang; Vineeth Ayyat Kochaniyan; Fuchun Peng; Ozlem Kalinli; Michael L. Seltzer (INTERSPEECH, 2024)