Michael L. Seltzer

132 papers A* 1A 35B 1C 3Misc 35Journal 46Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	End-to-End Speech Recognition Contextualization with Large Language Models. ICASSP Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen
2024	A	`conf`	Towards measuring fairness in speech recognition: Fair-Speech dataset. INTERSPEECH Irina-Elena Veliche, Zhuangqun Huang, Vineeth Ayyat Kochaniyan, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2024	J	`jnl`	Towards measuring fairness in speech recognition: Fair-Speech dataset. CoRR Irina-Elena Veliche, Zhuangqun Huang, Vineeth Ayyat Kochaniyan, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2023	J	`jnl`	Augmenting text for spoken language understanding with Large Language Models. CoRR Roshan Sharma, Suyoun Kim, Daniel Lazar, Trang Le, Akshat Shrivastava, Kwanghoon Ahn, Piyush Kansal, Leda Sari, Ozlem Kalinli, Michael L. Seltzer
2023	J	`jnl`	End-to-End Speech Recognition Contextualization with Large Language Models. CoRR Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen
2023	Misc	`conf`	Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. ICASSP Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer
2023	Misc	`conf`	Improving fast-slow Encoder based Transducer with Streaming Deliberation. ICASSP Ke Li, Jay Mahadeokar, Jinxi Guo, Yangyang Shi, Gil Keren, Ozlem Kalinli, Michael L. Seltzer, Duc Le
2023	Misc	`conf`	Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. ICASSP Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer
2023	A	`conf`	Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. INTERSPEECH Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer
2023	J	`jnl`	Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. CoRR Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer
2022	A	`conf`	Deliberation Model for On-Device Spoken Language Understanding. INTERSPEECH Duc Le, Akshat Shrivastava, Paden D. Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Deliberation Model for On-Device Spoken Language Understanding. CoRR Duc Le, Akshat Shrivastava, Paden Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer
2022	A	`conf`	Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. INTERSPEECH Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. CoRR Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. CoRR Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer
2022	Misc	`conf`	Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2022	A	`conf`	Streaming parallel transducer beam search with fast slow cascaded encoders. INTERSPEECH Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Streaming parallel transducer beam search with fast-slow cascaded encoders. CoRR Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer
2021	—	`conf`	Alignment Restricted Streaming Recurrent Neural Network Transducer. SLT Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer
2021	A	`conf`	Collaborative Training of Acoustic Encoders for Speech Recognition. Interspeech Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
2021	J	`jnl`	Collaborative Training of Acoustic Encoders for Speech Recognition. CoRR Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
2021	A	`conf`	Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. Interspeech 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
2021	J	`jnl`	Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. CoRR 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
2021	—	`conf`	Deep Shallow Fusion for RNN-T Personalization. SLT Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer
2021	A	`conf`	Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. Interspeech Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
2021	J	`jnl`	Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. CoRR Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
2021	J	`jnl`	Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency. CoRR 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
2021	A	`conf`	Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency. Interspeech 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
2021	J	`jnl`	Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. CoRR Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
2021	A	`conf`	Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios. Interspeech Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
2021	J	`jnl`	Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios. CoRR Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
2021	Misc	`conf`	Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. ICASSP Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le
2021	Misc	`conf`	Memory-Efficient Speech Recognition on Smart Devices. ICASSP Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
2021	J	`jnl`	Memory-efficient Speech Recognition on Smart Devices. CoRR Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
2021	A	`conf`	Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. Interspeech Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
2021	J	`jnl`	Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. CoRR Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
2021	—	`conf`	Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition. SLT Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer
2020	Misc	`conf`	Aipnet: Generative Adversarial Pre-Training of Accent-Invariant Networks for End-To-End Speech Recognition. ICASSP Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer
2020	J	`jnl`	Alignment Restricted Streaming Recurrent Neural Network Transducer. CoRR Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer
2020	J	`jnl`	Deep Shallow Fusion for RNN-T Personalization. CoRR Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer
2020	J	`jnl`	Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition. CoRR Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer
2020	Misc	`conf`	G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. ICASSP Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer
2020	J	`jnl`	Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. CoRR Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le
2020	J	`jnl`	Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition. CoRR Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer
2020	Misc	`conf`	Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. ICASSP Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer
2020	J	`jnl`	Weak-Attention Suppression For Transformer Based Speech Recognition. CoRR Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer
2020	A	`conf`	Weak-Attention Suppression for Transformer Based Speech Recognition. INTERSPEECH Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer
2019	J	`jnl`	AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition. CoRR Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer
2019	Misc	`conf`	End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder. ICASSP Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen
2019	C	`conf`	From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. ASRU Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer
2019	J	`jnl`	From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. CoRR Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer
2019	J	`jnl`	G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. CoRR Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer
2019	J	`jnl`	Introduction to the Issue on Far-Field Speech Processing in the Era of Deep Learning: Speech Enhancement, Separation, and Recognition. IEEE J. Sel. Top. Signal Process. Shinji Watanabe, Shoko Araki, Michiel Bacchiani, Reinhold Haeb-Umbach, Michael L. Seltzer
2019	A	`conf`	Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR. INTERSPEECH Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen
2019	J	`jnl`	RNN-T For Latency Controlled ASR With Improved Beam Search. CoRR Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer
2019	J	`jnl`	Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques. IEEE Signal Process. Mag. Reinhold Haeb-Umbach, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Björn Hoffmeister, Michael L. Seltzer, Heiga Zen, Mehrez Souden
2019	J	`jnl`	Transformer-Transducer: End-to-End Speech Recognition with Self-Attention. CoRR Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, Michael L. Seltzer
2019	J	`jnl`	Transformer-based Acoustic Modeling for Hybrid Speech Recognition. CoRR Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer
2018	Misc	`conf`	Efficient Integration of Fixed Beamformers and Speech Separation Networks for Multi-Channel Far-Field Speech Separation. ICASSP Zhuo Chen, Takuya Yoshioka, Xiong Xiao, Linyu Li, Michael L. Seltzer, Yifan Gong
2018	J	`jnl`	End-to-end contextual speech recognition using class language models and a token passing decoder. CoRR Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen
2018	A	`conf`	Improved Training for Online End-to-end Speech Recognition Systems. INTERSPEECH Suyoun Kim, Michael L. Seltzer, Jinyu Li, Rui Zhao
2018	Misc	`conf`	Towards Language-Universal End-to-End Speech Recognition. ICASSP Suyoun Kim, Michael L. Seltzer
2017	Misc	`conf`	A study on data augmentation of reverberant speech for robust speech recognition. ICASSP Tom Ko, Vijayaditya Peddinti, Daniel Povey, Michael L. Seltzer, Sanjeev Khudanpur
2017	—	`ch.`	Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition. New Era for Robust Speech Recognition, Exploiting Deep Learning Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Michael I. Mandel, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Dong Yu
2017	J	`jnl`	Improved training for online end-to-end speech recognition systems. CoRR Suyoun Kim, Michael L. Seltzer, Jinyu Li, Rui Zhao
2017	A	`conf`	Large-Scale Domain Adaptation via Teacher-Student Learning. INTERSPEECH Jinyu Li, Michael L. Seltzer, Xi Wang, Rui Zhao, Yifan Gong
2017	J	`jnl`	Large-Scale Domain Adaptation via Teacher-Student Learning. CoRR Jinyu Li, Michael L. Seltzer, Xi Wang, Rui Zhao, Yifan Gong
2017	—	`conf`	May I take your order? A Neural Model for Extracting Structured Information from Conversations. EACL (1) Baolin Peng, Michael L. Seltzer, Y. C. Ju, Geoffrey Zweig, Kam-Fai Wong
2017	J	`jnl`	Toward Human Parity in Conversational Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Michael L. Seltzer, Andreas Stolcke, Dong Yu, Geoffrey Zweig
2017	J	`jnl`	Towards Language-Universal End-to-End Speech Recognition. CoRR Suyoun Kim, Michael L. Seltzer
2016	Misc	`conf`	Deep beamforming networks for multi-channel speech recognition. ICASSP Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Michael I. Mandel, Dong Yu
2016	Misc	`conf`	Linearly augmented deep neural network. ICASSP Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer
2016	A	`conf`	On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models. INTERSPEECH Tasha Nagamine, Michael L. Seltzer, Nima Mesgarani
2015	J	`jnl`	Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Chao Weng, Dong Yu, Michael L. Seltzer, Jasha Droppo
2015	A	`conf`	Exploring how deep neural networks form phonemic categories. INTERSPEECH Tasha Nagamine, Michael L. Seltzer, Nima Mesgarani
2015	Misc	`conf`	Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning. ICASSP Ritwik Giri, Michael L. Seltzer, Jasha Droppo, Dong Yu
2015	Misc	`conf`	Speech recognition with prediction-adaptation-correction recurrent neural networks. ICASSP Yu Zhang, Dong Yu, Michael L. Seltzer, Jasha Droppo
2014	A	`conf`	An introduction to computational networks and the computational network toolkit (invited talk). INTERSPEECH Dong Yu, Adam Eversole, Michael L. Seltzer, Kaisheng Yao, Brian Guenter, Oleksii Kuchaiev, Frank Seide, Huaming Wang, Jasha Droppo, Zhiheng Huang, Geoffrey Zweig, Christopher J. Rossbach, Jon Currey
2014	Misc	`conf`	Factored adaptation of speaker and environment using orthogonal subspace transforms. ICASSP Hyunson Seo, Hong-Goo Kang, Michael L. Seltzer
2014	Misc	`conf`	Single-channel mixed speech recognition using deep neural networks. ICASSP Chao Weng, Dong Yu, Michael L. Seltzer, Jasha Droppo
2014	A	`conf`	The influence of pitch and noise on the discriminability of filterbank features. INTERSPEECH Malcolm Slaney, Michael L. Seltzer
2014	A	`conf`	Towards better performance with heterogeneous training data in acoustic modeling using deep neural networks. INTERSPEECH Yan Huang, Malcolm Slaney, Michael L. Seltzer, Yifan Gong
2013	Misc	`conf`	An investigation of deep neural networks for noise robust speech recognition. ICASSP Michael L. Seltzer, Dong Yu, Yongqiang Wang
2013	Misc	`conf`	Deep neural network features and semi-supervised training for low resource speech recognition. ICASSP Samuel Thomas, Michael L. Seltzer, Kenneth Church, Hynek Hermansky
2013	A*	`conf`	Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks ICLR Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide
2013	Misc	`conf`	Multi-task learning in deep neural networks for improved phoneme recognition. ICASSP Michael L. Seltzer, Jasha Droppo
2013	Misc	`conf`	Recent advances in deep learning for speech research at Microsoft. ICASSP Li Deng, Jinyu Li, Jui-Ting Huang, Kaisheng Yao, Dong Yu, Frank Seide, Michael L. Seltzer, Geoffrey Zweig, Xiaodong He, Jason D. Williams, Yifan Gong, Alex Acero
2012	—	`ch.`	Acoustic Model Training for Robust Speech Recognition. Techniques for Noise Robustness in Automatic Speech Recognition Michael L. Seltzer
2012	A	`conf`	Efficient VTS Adaptation Using Jacobian Approximation. INTERSPEECH Jinyu Li, Michael L. Seltzer, Yifan Gong
2012	A	`conf`	Factored adaptation using a combination of feature-space and model-space transforms. INTERSPEECH Michael L. Seltzer, Alex Acero
2012	Misc	`conf`	Improvements to VTS feature enhancement. ICASSP Jinyu Li, Michael L. Seltzer, Yifan Gong
2011	Misc	`conf`	CROWDMOS: An approach for crowdsourcing mean opinion score studies. ICASSP Flavio P. Ribeiro, Dinei A. F. Florêncio, Cha Zhang, Michael L. Seltzer
2011	C	`conf`	Factored adaptation for separable compensation of speaker and environmental variability. ASRU Michael L. Seltzer, Alex Acero
2011	A	`conf`	Improved Bottleneck Features Using Pretrained Deep Neural Networks. INTERSPEECH Dong Yu, Michael L. Seltzer
2011	J	`jnl`	In-Car Media Search. IEEE Signal Process. Mag. Michael L. Seltzer, Yun-Cheng Ju, Ivan Tashev, Ye-Yi Wang, Dong Yu
2011	Misc	`conf`	Joint encoding of the waveform and speech recognition features using a transform codec. ICASSP Xing Fan, Michael L. Seltzer, Jasha Droppo, Henrique S. Malvar, Alex Acero
2011	A	`conf`	Separating Speaker and Environmental Variability Using Factored Transforms. INTERSPEECH Michael L. Seltzer, Alex Acero
2010	Misc	`conf`	Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition. ICASSP Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonkar
2010	A	`conf`	Binary coding of speech spectrograms using a deep auto-encoder. INTERSPEECH Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdel-rahman Mohamed, Geoffrey E. Hinton
2010	A	`conf`	HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition. INTERSPEECH Michael L. Seltzer, Alex Acero
2010	J	`jnl`	Noise Adaptive Training for Robust Automatic Speech Recognition. IEEE Trans. Speech Audio Process. Ozlem Kalinli, Michael L. Seltzer, Jasha Droppo, Alex Acero
2009	A	`conf`	Improving perceived accuracy for in-car media search. INTERSPEECH Yun-Cheng Ju, Michael L. Seltzer, Ivan Tashev
2009	Misc	`conf`	Noise adaptive training using a vector taylor series approach for noise robust automatic speech recognition. ICASSP Ozlem Kalinli, Michael L. Seltzer, Alex Acero
2009	C	`conf`	Noise robust model adaptation using linear spline interpolation. ASRU Kaustubh Kalgaonkar, Michael L. Seltzer, Alex Acero
2009	Misc	`conf`	The data deluge: Challenges and opportunities of unlimited data in statistical signal processing. ICASSP Michael L. Seltzer, Lei Zhang
2009	Misc	`conf`	Voice search of structured media data. ICASSP Young-In Song, Ye-Yi Wang, Yun-Cheng Ju, Michael L. Seltzer, Ivan Tashev, Alex Acero
2008	Misc	`conf`	Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources. ICASSP Graham W. Taylor, Michael L. Seltzer, Alex Acero
2008	Misc	`conf`	Robust design of wideband loudspeaker arrays. ICASSP Ivan Tashev, Jasha Droppo, Michael L. Seltzer, Alex Acero
2008	A	`conf`	Towards a non-parametric acoustic model: an acoustic decision tree for observation probability calculation. INTERSPEECH Jasha Droppo, Michael L. Seltzer, Alex Acero, Yu-Hsiang Bosco Chiu
2007	J	`jnl`	Automatic Removal of Typed Keystrokes From Speech Signals. IEEE Signal Process. Lett. Amarnag Subramanya, Michael L. Seltzer, Alejandro Acero
2007	B	`conf`	Commute UX: Telephone Dialog System for Location-based Services. SIGdial Ivan Tashev, Michael L. Seltzer, Yun-Cheng Ju, Dong Yu, Alex Acero
2007	—	`conf`	Microphone Array Post-Filter using Incremental Bayes Learning to Track the Spatial Distributions of Speech and Noise. ICASSP (1) Michael L. Seltzer, Ivan Tashev, Alex Acero
2007	A	`conf`	Robust location understanding in spoken dialog systems using intersections. INTERSPEECH Michael L. Seltzer, Yun-Cheng Ju, Ivan Tashev, Alex Acero
2007	J	`jnl`	Training Wideband Acoustic Models Using Mixed-Bandwidth Training Data for Speech Recognition. IEEE Trans. Speech Audio Process. Michael L. Seltzer, Alex Acero
2006	A	`conf`	Automatic removal of typed keystrokes from speech signals. INTERSPEECH Amarnag Subramanya, Michael L. Seltzer, Alex Acero
2006	J	`jnl`	Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments. IEEE Trans. Speech Audio Process. Michael L. Seltzer, Richard M. Stern
2005	A	`conf`	Robust bandwidth extension of noise-corrupted narrowband speech. INTERSPEECH Michael L. Seltzer, Alex Acero, Jasha Droppo
2005	—	`ch.`	Speech Recognizer Based Maximum Likelihood Beamforming. Speech Separation by Humans and Machines Bhiksha Raj, Michael L. Seltzer, Manuel Jesus Reyes-Gomez
2005	—	`conf`	Training Wideband Acoustic Models using Mixed-Bandwidth Training Data via Feature Bandwidth Extension. ICASSP (1) Michael L. Seltzer, Alex Acero
2004	J	`jnl`	A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition. Speech Commun. Michael L. Seltzer, Bhiksha Raj, Richard M. Stern
2004	J	`jnl`	Likelihood-maximizing beamforming for robust hands-free speech recognition. IEEE Trans. Speech Audio Process. Michael L. Seltzer, Bhiksha Raj, Richard M. Stern
2004	—	`conf`	Parameter sharing in subband likelihood-maximizing beamforming for speech recognition using microphone arrays. ICASSP (1) Michael L. Seltzer, Richard M. Stern
2004	J	`jnl`	Reconstruction of missing features for robust speech recognition. Speech Commun. Bhiksha Raj, Michael L. Seltzer, Richard M. Stern
2003	A	`conf`	A harmonic-model-based front end for robust speech recognition. INTERSPEECH Michael L. Seltzer, Jasha Droppo, Alex Acero
2003	J	`jnl`	Speech-recognizer-based filter optimization for microphone array processing. IEEE Signal Process. Lett. Michael L. Seltzer, Bhiksha Raj
2003	—	`conf`	Subband parameter optimization of microphone arrays for speech recognition in reverberant environments. ICASSP (1) Michael L. Seltzer, Richard M. Stern
2002	Misc	`conf`	Speech recognizer-based microphone array processing for robust hands-free speech recognition. ICASSP Michael L. Seltzer, Bhiksha Raj, Richard M. Stern
2001	A	`conf`	Calibration of microphone arrays for improved speech recognition. INTERSPEECH Michael L. Seltzer, Bhiksha Raj
2001	Misc	`conf`	Speech in Noisy Environments: robust automatic segmentation, feature extraction, and hypothesis combination. ICASSP Rita Singh, Michael L. Seltzer, Bhiksha Raj, Richard M. Stern
2000	A	`conf`	Classifier-based mask estimation for missing feature methods of robust speech recognition. INTERSPEECH Michael L. Seltzer, Bhiksha Raj, Richard M. Stern
2000	A	`conf`	Reconstruction of damaged spectrographic features for robust speech recognition. INTERSPEECH Bhiksha Raj, Michael L. Seltzer, Richard M. Stern