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2020 – today
- 2024
[c82]Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen:
End-to-End Speech Recognition Contextualization with Large Language Models. ICASSP 2024: 12406-12410- [i33]Irina-Elena Veliche, Zhuangqun Huang, Vineeth Ayyat Kochaniyan, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Towards measuring fairness in speech recognition: Fair-Speech dataset. CoRR abs/2408.12734 (2024) - 2023
- [c81]Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer:
Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. ICASSP 2023: 1-5 - [c80]Ke Li, Jay Mahadeokar, Jinxi Guo, Yangyang Shi, Gil Keren, Ozlem Kalinli, Michael L. Seltzer, Duc Le:
Improving fast-slow Encoder based Transducer with Streaming Deliberation. ICASSP 2023: 1-5 - [c79]Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer:
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. ICASSP 2023: 1-5 - [c78]Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer:
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. INTERSPEECH 2023: 1119-1123 - [i32]Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer:
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding. CoRR abs/2307.12134 (2023) - [i31]Roshan Sharma, Suyoun Kim, Daniel Lazar, Trang Le, Akshat Shrivastava, Kwanghoon Ahn, Piyush Kansal, Leda Sari, Ozlem Kalinli, Michael L. Seltzer:
Augmenting text for spoken language understanding with Large Language Models. CoRR abs/2309.09390 (2023) - [i30]Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen:
End-to-End Speech Recognition Contextualization with Large Language Models. CoRR abs/2309.10917 (2023) - 2022
- [c77]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP 2022: 6107-6111 - [c76]Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer:
Streaming parallel transducer beam search with fast slow cascaded encoders. INTERSPEECH 2022: 2083-2087 - [c75]Duc Le, Akshat Shrivastava, Paden D. Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer:
Deliberation Model for On-Device Spoken Language Understanding. INTERSPEECH 2022: 3468-3472 - [c74]Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. INTERSPEECH 2022: 3978-3982 - [i29]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR abs/2201.11867 (2022) - [i28]Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer:
Streaming parallel transducer beam search with fast-slow cascaded encoders. CoRR abs/2203.15773 (2022) - [i27]Duc Le, Akshat Shrivastava, Paden Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer:
Deliberation Model for On-Device Spoken Language Understanding. CoRR abs/2204.01893 (2022) - [i26]Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer:
Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers. CoRR abs/2211.00896 (2022) - [i25]Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer:
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. CoRR abs/2211.05756 (2022) - 2021
- [c73]Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le:
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. ICASSP 2021: 7333-7337 - [c72]Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra:
Memory-Efficient Speech Recognition on Smart Devices. ICASSP 2021: 8368-8372 - [c71]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:
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. Interspeech 2021: 1772-1776 - [c70]Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. Interspeech 2021: 1977-1981 - [c69]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:
Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency. Interspeech 2021: 2042-2046 - [c68]Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios. Interspeech 2021: 2107-2111 - [c67]Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. Interspeech 2021: 4553-4557 - [c66]Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra:
Collaborative Training of Acoustic Encoders for Speech Recognition. Interspeech 2021: 4573-4577 - [c65]Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer:
Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition. SLT 2021: 8-14 - [c64]Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer:
Alignment Restricted Streaming Recurrent Neural Network Transducer. SLT 2021: 52-59 - [c63]Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer:
Deep Shallow Fusion for RNN-T Personalization. SLT 2021: 251-257 - [i24]Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra:
Memory-efficient Speech Recognition on Smart Devices. CoRR abs/2102.11531 (2021) - [i23]Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding. CoRR abs/2104.02138 (2021) - [i22]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:
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency. CoRR abs/2104.02176 (2021) - [i21]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:
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. CoRR abs/2104.02194 (2021) - [i20]Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. CoRR abs/2104.02207 (2021) - [i19]Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer:
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios. CoRR abs/2104.02232 (2021) - [i18]Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra:
Collaborative Training of Acoustic Encoders for Speech Recognition. CoRR abs/2106.08960 (2021) - [i17]Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer:
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric. CoRR abs/2110.05376 (2021) - 2020
- [c62]Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer:
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. ICASSP 2020: 6869-6873 - [c61]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:
Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. ICASSP 2020: 6874-6878 - [c60]Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer:
Aipnet: Generative Adversarial Pre-Training of Accent-Invariant Networks for End-To-End Speech Recognition. ICASSP 2020: 6979-6983 - [c59]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression for Transformer Based Speech Recognition. INTERSPEECH 2020: 4996-5000 - [i16]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression For Transformer Based Speech Recognition. CoRR abs/2005.09137 (2020) - [i15]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer:
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition. CoRR abs/2010.10759 (2020) - [i14]Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le:
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. CoRR abs/2010.13878 (2020) - [i13]Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer:
Alignment Restricted Streaming Recurrent Neural Network Transducer. CoRR abs/2011.03072 (2020) - [i12]Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer:
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition. CoRR abs/2011.07120 (2020) - [i11]Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer:
Deep Shallow Fusion for RNN-T Personalization. CoRR abs/2011.07754 (2020)
2010 – 2019
- 2019
- [j13]Shinji Watanabe
, Shoko Araki, Michiel Bacchiani, Reinhold Haeb-Umbach, Michael L. Seltzer:
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. 13(4): 785-786 (2019) - [j12]Reinhold Haeb-Umbach, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Björn Hoffmeister, Michael L. Seltzer, Heiga Zen, Mehrez Souden:
Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques. IEEE Signal Process. Mag. 36(6): 111-124 (2019) - [c58]Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. ASRU 2019: 457-464 - [c57]Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen:
End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder. ICASSP 2019: 6186-6190 - [c56]Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen:
Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR. INTERSPEECH 2019: 3490-3494 - [i10]Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. CoRR abs/1910.01493 (2019) - [i9]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:
Transformer-based Acoustic Modeling for Hybrid Speech Recognition. CoRR abs/1910.09799 (2019) - [i8]Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer:
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. CoRR abs/1910.12612 (2019) - [i7]Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, Michael L. Seltzer:
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention. CoRR abs/1910.12977 (2019) - [i6]Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer:
RNN-T For Latency Controlled ASR With Improved Beam Search. CoRR abs/1911.01629 (2019) - [i5]Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer:
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition. CoRR abs/1911.11935 (2019) - 2018
- [c55]Suyoun Kim, Michael L. Seltzer:
Towards Language-Universal End-to-End Speech Recognition. ICASSP 2018: 4914-4918 - [c54]Zhuo Chen, Takuya Yoshioka, Xiong Xiao, Linyu Li, Michael L. Seltzer, Yifan Gong:
Efficient Integration of Fixed Beamformers and Speech Separation Networks for Multi-Channel Far-Field Speech Separation. ICASSP 2018: 5384-5388 - [c53]Suyoun Kim, Michael L. Seltzer, Jinyu Li, Rui Zhao:
Improved Training for Online End-to-end Speech Recognition Systems. INTERSPEECH 2018: 2913-2917 - [i4]Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen:
End-to-end contextual speech recognition using class language models and a token passing decoder. CoRR abs/1812.02142 (2018) - 2017
- [j11]Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Michael L. Seltzer, Andreas Stolcke, Dong Yu, Geoffrey Zweig:
Toward Human Parity in Conversational Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(12): 2410-2423 (2017) - [c52]Baolin Peng, Michael L. Seltzer, Y. C. Ju, Geoffrey Zweig, Kam-Fai Wong:
May I take your order? A Neural Model for Extracting Structured Information from Conversations. EACL (1) 2017: 450-459 - [c51]Tom Ko, Vijayaditya Peddinti, Daniel Povey, Michael L. Seltzer, Sanjeev Khudanpur:
A study on data augmentation of reverberant speech for robust speech recognition. ICASSP 2017: 5220-5224 - [c50]Jinyu Li, Michael L. Seltzer, Xi Wang, Rui Zhao, Yifan Gong:
Large-Scale Domain Adaptation via Teacher-Student Learning. INTERSPEECH 2017: 2386-2390 - [p3]Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Michael I. Mandel, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Dong Yu:
Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 79-104 - [i3]Jinyu Li, Michael L. Seltzer, Xi Wang, Rui Zhao, Yifan Gong:
Large-Scale Domain Adaptation via Teacher-Student Learning. CoRR abs/1708.05466 (2017) - [i2]Suyoun Kim, Michael L. Seltzer:
Towards Language-Universal End-to-End Speech Recognition. CoRR abs/1711.02207 (2017) - [i1]Suyoun Kim, Michael L. Seltzer, Jinyu Li, Rui Zhao:
Improved training for online end-to-end speech recognition systems. CoRR abs/1711.02212 (2017) - 2016
- [c49]Pegah Ghahremani, Jasha Droppo, Michael L. Seltzer:
Linearly augmented deep neural network. ICASSP 2016: 5085-5089 - [c48]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: 5745-5749 - [c47]Tasha Nagamine, Michael L. Seltzer, Nima Mesgarani:
On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models. INTERSPEECH 2016: 803-807 - 2015
- [j10]Chao Weng, Dong Yu, Michael L. Seltzer, Jasha Droppo:
Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(10): 1670-1679 (2015) - [c46]Yu Zhang, Dong Yu, Michael L. Seltzer, Jasha Droppo:
Speech recognition with prediction-adaptation-correction recurrent neural networks. ICASSP 2015: 5004-5008 - [c45]Ritwik Giri, Michael L. Seltzer, Jasha Droppo, Dong Yu:
Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning. ICASSP 2015: 5014-5018 - [c44]Tasha Nagamine, Michael L. Seltzer, Nima Mesgarani:
Exploring how deep neural networks form phonemic categories. INTERSPEECH 2015: 1912-1916 - 2014
- [c43]Hyunson Seo, Hong-Goo Kang, Michael L. Seltzer:
Factored adaptation of speaker and environment using orthogonal subspace transforms. ICASSP 2014: 3251-3255 - [c42]Chao Weng, Dong Yu, Michael L. Seltzer, Jasha Droppo:
Single-channel mixed speech recognition using deep neural networks. ICASSP 2014: 5632-5636 - [c41]Yan Huang, Malcolm Slaney, Michael L. Seltzer, Yifan Gong:
Towards better performance with heterogeneous training data in acoustic modeling using deep neural networks. INTERSPEECH 2014: 845-849 - [c40]Malcolm Slaney, Michael L. Seltzer:
The influence of pitch and noise on the discriminability of filterbank features. INTERSPEECH 2014: 2263-2267 - [c39]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:
An introduction to computational networks and the computational network toolkit (invited talk). INTERSPEECH 2014 - 2013
- [c38]Samuel Thomas, Michael L. Seltzer, Kenneth Church, Hynek Hermansky:
Deep neural network features and semi-supervised training for low resource speech recognition. ICASSP 2013: 6704-6708 - [c37]Michael L. Seltzer, Jasha Droppo:
Multi-task learning in deep neural networks for improved phoneme recognition. ICASSP 2013: 6965-6969 - [c36]Michael L. Seltzer, Dong Yu, Yongqiang Wang:
An investigation of deep neural networks for noise robust speech recognition. ICASSP 2013: 7398-7402 - [c35]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:
Recent advances in deep learning for speech research at Microsoft. ICASSP 2013: 8604-8608 - [c34]Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide:
Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks. ICLR 2013 - 2012
- [c33]Jinyu Li, Michael L. Seltzer, Yifan Gong:
Improvements to VTS feature enhancement. ICASSP 2012: 4677-4680 - [c32]Michael L. Seltzer, Alex Acero:
Factored adaptation using a combination of feature-space and model-space transforms. INTERSPEECH 2012: 1792-1795 - [c31]Jinyu Li, Michael L. Seltzer, Yifan Gong:
Efficient VTS Adaptation Using Jacobian Approximation. INTERSPEECH 2012: 1906-1909 - [p2]Michael L. Seltzer:
Acoustic Model Training for Robust Speech Recognition. Techniques for Noise Robustness in Automatic Speech Recognition 2012: 347-368 - 2011
- [j9]Michael L. Seltzer, Yun-Cheng Ju, Ivan Tashev, Ye-Yi Wang, Dong Yu:
In-Car Media Search. IEEE Signal Process. Mag. 28(4): 50-60 (2011) - [c30]Michael L. Seltzer, Alex Acero:
Factored adaptation for separable compensation of speaker and environmental variability. ASRU 2011: 146-151 - [c29]Flavio P. Ribeiro, Dinei A. F. Florêncio, Cha Zhang, Michael L. Seltzer:
CROWDMOS: An approach for crowdsourcing mean opinion score studies. ICASSP 2011: 2416-2419 - [c28]Xing Fan, Michael L. Seltzer, Jasha Droppo, Henrique S. Malvar, Alex Acero:
Joint encoding of the waveform and speech recognition features using a transform codec. ICASSP 2011: 5148-5151 - [c27]Dong Yu, Michael L. Seltzer:
Improved Bottleneck Features Using Pretrained Deep Neural Networks. INTERSPEECH 2011: 237-240 - [c26]Michael L. Seltzer, Alex Acero:
Separating Speaker and Environmental Variability Using Factored Transforms. INTERSPEECH 2011: 1097-1100 - 2010
- [j8]Ozlem Kalinli, Michael L. Seltzer, Jasha Droppo, Alex Acero:
Noise Adaptive Training for Robust Automatic Speech Recognition. IEEE Trans. Speech Audio Process. 18(8): 1889-1901 (2010) - [c25]Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonkar:
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition. ICASSP 2010: 4550-4553 - [c24]Michael L. Seltzer, Alex Acero:
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition. INTERSPEECH 2010: 1664-1667 - [c23]Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdel-rahman Mohamed, Geoffrey E. Hinton:
Binary coding of speech spectrograms using a deep auto-encoder. INTERSPEECH 2010: 1692-1695
2000 – 2009
- 2009
- [c22]Kaustubh Kalgaonkar, Michael L. Seltzer, Alex Acero:
Noise robust model adaptation using linear spline interpolation. ASRU 2009: 199-204 - [c21]Michael L. Seltzer, Lei Zhang:
The data deluge: Challenges and opportunities of unlimited data in statistical signal processing. ICASSP 2009: 3701-3704 - [c20]Ozlem Kalinli, Michael L. Seltzer, Alex Acero:
Noise adaptive training using a vector taylor series approach for noise robust automatic speech recognition. ICASSP 2009: 3825-3828 - [c19]Young-In Song, Ye-Yi Wang, Yun-Cheng Ju, Michael L. Seltzer, Ivan Tashev, Alex Acero:
Voice search of structured media data. ICASSP 2009: 3941-3944 - [c18]Yun-Cheng Ju, Michael L. Seltzer, Ivan Tashev:
Improving perceived accuracy for in-car media search. INTERSPEECH 2009: 979-982 - 2008
- [c17]Ivan Tashev, Jasha Droppo, Michael L. Seltzer, Alex Acero:
Robust design of wideband loudspeaker arrays. ICASSP 2008: 381-384 - [c16]Graham W. Taylor, Michael L. Seltzer, Alex Acero:
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources. ICASSP 2008: 1821-1824 - [c15]Jasha Droppo, Michael L. Seltzer, Alex Acero, Yu-Hsiang Bosco Chiu:
Towards a non-parametric acoustic model: an acoustic decision tree for observation probability calculation. INTERSPEECH 2008: 289-292 - 2007
- [j7]Amarnag Subramanya, Michael L. Seltzer, Alejandro Acero:
Automatic Removal of Typed Keystrokes From Speech Signals. IEEE Signal Process. Lett. 14(5): 363-366 (2007) - [j6]Michael L. Seltzer, Alex Acero:
Training Wideband Acoustic Models Using Mixed-Bandwidth Training Data for Speech Recognition. IEEE Trans. Speech Audio Process. 15(1): 235-245 (2007) - [c14]Michael L. Seltzer, Ivan Tashev, Alex Acero:
Microphone Array Post-Filter using Incremental Bayes Learning to Track the Spatial Distributions of Speech and Noise. ICASSP (1) 2007: 29-32 - [c13]Michael L. Seltzer, Yun-Cheng Ju, Ivan Tashev, Alex Acero:
Robust location understanding in spoken dialog systems using intersections. INTERSPEECH 2007: 2813-2816 - [c12]Ivan Tashev, Michael L. Seltzer, Yun-Cheng Ju, Dong Yu, Alex Acero:
Commute UX: Telephone Dialog System for Location-based Services. SIGdial 2007: 87-94 - 2006
- [j5]Michael L. Seltzer, Richard M. Stern:
Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments. IEEE Trans. Speech Audio Process. 14(6): 2109-2121 (2006) - [c11]Amarnag Subramanya, Michael L. Seltzer, Alex Acero:
Automatic removal of typed keystrokes from speech signals. INTERSPEECH 2006 - 2005
- [c10]Michael L. Seltzer, Alex Acero:
Training Wideband Acoustic Models using Mixed-Bandwidth Training Data via Feature Bandwidth Extension. ICASSP (1) 2005: 921-924 - [c9]Michael L. Seltzer, Alex Acero, Jasha Droppo:
Robust bandwidth extension of noise-corrupted narrowband speech. INTERSPEECH 2005: 1509-1512 - [p1]Bhiksha Raj, Michael L. Seltzer, Manuel Jesus Reyes-Gomez:
Speech Recognizer Based Maximum Likelihood Beamforming. Speech Separation by Humans and Machines 2005: 65-82 - 2004
- [j4]Bhiksha Raj, Michael L. Seltzer, Richard M. Stern:
Reconstruction of missing features for robust speech recognition. Speech Commun. 43(4): 275-296 (2004) - [j3]Michael L. Seltzer, Bhiksha Raj, Richard M. Stern:
A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition. Speech Commun. 43(4): 379-393 (2004) - [j2]Michael L. Seltzer, Bhiksha Raj, Richard M. Stern:
Likelihood-maximizing beamforming for robust hands-free speech recognition. IEEE Trans. Speech Audio Process. 12(5): 489-498 (2004) - [c8]Michael L. Seltzer, Richard M. Stern:
Parameter sharing in subband likelihood-maximizing beamforming for speech recognition using microphone arrays. ICASSP (1) 2004: 881-884 - 2003
- [j1]Michael L. Seltzer, Bhiksha Raj:
Speech-recognizer-based filter optimization for microphone array processing. IEEE Signal Process. Lett. 10(3): 69-71 (2003) - [c7]Michael L. Seltzer, Richard M. Stern:
Subband parameter optimization of microphone arrays for speech recognition in reverberant environments. ICASSP (1) 2003: 408-411 - [c6]Michael L. Seltzer, Jasha Droppo, Alex Acero:
A harmonic-model-based front end for robust speech recognition. INTERSPEECH 2003: 1277-1280 - 2002
- [c5]Michael L. Seltzer, Bhiksha Raj, Richard M. Stern:
Speech recognizer-based microphone array processing for robust hands-free speech recognition. ICASSP 2002: 897-900 - 2001
- [c4]Rita Singh, Michael L. Seltzer, Bhiksha Raj, Richard M. Stern:
Speech in Noisy Environments: robust automatic segmentation, feature extraction, and hypothesis combination. ICASSP 2001: 273-276 - [c3]Michael L. Seltzer, Bhiksha Raj:
Calibration of microphone arrays for improved speech recognition. INTERSPEECH 2001: 1005-1008 - 2000
- [c2]Bhiksha Raj, Michael L. Seltzer, Richard M. Stern:
Reconstruction of damaged spectrographic features for robust speech recognition. INTERSPEECH 2000: 357-360 - [c1]Michael L. Seltzer, Bhiksha Raj, Richard M. Stern:
Classifier-based mask estimation for missing feature methods of robust speech recognition. INTERSPEECH 2000: 538-541
Coauthor Index
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