A Sinusoidal Model Approach to Acoustic Landmark Detection and Segmentation for Robust Segment-Based Speech Recognition. - Tara N. Sainath; Timothy J. Hazen (ICASSP (1), 2006)

Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations. - Tara N. Sainath; Dimitri Kanevsky; Bhuvana Ramabhadran (ASRU, 2007)

Unsupervised Audio Segmentation using Extended Baum-Welch Transformations. - Tara N. Sainath; Dimitri Kanevsky; Giridharan Iyengar (ICASSP (1), 2007)

Audio classification using extended baum-welch transformations. - Tara N. Sainath; Victor Zue; Dimitri Kanevsky (INTERSPEECH, 2007)

Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks. - Tara N. Sainath; Dimitri Kanevsky; Bhuvana Ramabhadran (ICASSP, 2008)

Generalization of extended baum-welch parameter estimation for discriminative training and decoding. - Dimitri Kanevsky; Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo (INTERSPEECH, 2008)

A comparison of broad phonetic and acoustic units for noise robust segment-based phonetic recognition. - Tara N. Sainath; Victor Zue (INTERSPEECH, 2008)

Island-driven search using broad phonetic classes. - Tara N. Sainath (ASRU, 2009)

An exploration of large vocabulary tools for small vocabulary phonetic recognition. - Tara N. Sainath; Bhuvana Ramabhadran; Michael Picheny (ASRU, 2009)

A generalized family of parameter estimation techniques. - Dimitri Kanevsky; Tara N. Sainath; Bhuvana Ramabhadran (ICASSP, 2009)

Applications of broad class knowledge for noise robust speech recognition. - Tara N. Sainath (2009)

Kalman filtering for compressed sensing. - Dimitri Kanevsky; Avishy Carmi; Lior Horesh; Pini Gurfil; Bhuvana Ramabhadran; Tara N. Sainath (FUSION, 2010)

The Use of isometric transformations and bayesian estimation in compressive sensing for fMRI classification. - Avishy Carmi; Tara N. Sainath; Pini Gurfil; Dimitri Kanevsky; David Nahamoo; Bhuvana Ramabhadran (ICASSP, 2010)

Bayesian compressive sensing for phonetic classification. - Tara N. Sainath; Avishy Carmi; Dimitri Kanevsky; Bhuvana Ramabhadran (ICASSP, 2010)

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. - Seth J. Teller; Matthew R. Walter; Matthew E. Antone; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Jim Glass 001; Jonathan P. How; Albert S. Huang; Jeong hwan Jeon; Sertac Karaman; et al. (ICRA, 2010)

Incorporating sparse representation phone identification features in automatic speech recognition using exponential families. - Vaibhava Goel; Tara N. Sainath; Bhuvana Ramabhadran; Peder A. Olsen; David Nahamoo; Dimitri Kanevsky (INTERSPEECH, 2010)

An analysis of sparseness and regularization in exemplar-based methods for speech classification. - Dimitri Kanevsky; Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo (INTERSPEECH, 2010)

Sparse representations for text categorization. - Tara N. Sainath; Sameer Maskey; Dimitri Kanevsky; Bhuvana Ramabhadran; David Nahamoo; Julia Hirschberg (INTERSPEECH, 2010)

Sparse representation features for speech recognition. - Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo; Dimitri Kanevsky; Abhinav Sethy (INTERSPEECH, 2010)

Data selection for language modeling using sparse representations. - Abhinav Sethy; Tara N. Sainath; Bhuvana Ramabhadran; Dimitri Kanevsky (INTERSPEECH, 2010)

Making Deep Belief Networks effective for large vocabulary continuous speech recognition. - Tara N. Sainath; Brian Kingsbury; Bhuvana Ramabhadran; Petr Fousek; Petr Novák; Abdel-rahman Mohamed (ASRU, 2011)

A convex hull approach to sparse representations for exemplar-based speech recognition. - Tara N. Sainath; David Nahamoo; Dimitri Kanevsky; Bhuvana Ramabhadran; Parikshit M. Shah (ASRU, 2011)

A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization. - Dimitri Kanevsky; David Nahamoo; Tara N. Sainath; Bhuvana Ramabhadran; Peder A. Olsen (ICASSP, 2011)

Deep Belief Networks using discriminative features for phone recognition. - Abdel-rahman Mohamed; Tara N. Sainath; George E. Dahl; Bhuvana Ramabhadran; Geoffrey E. Hinton; Michael A. Picheny (ICASSP, 2011)

Exemplar-based Sparse Representation phone identification features. - Tara N. Sainath; David Nahamoo; Bhuvana Ramabhadran; Dimitri Kanevsky; Vaibhava Goel; Parikshit M. Shah (ICASSP, 2011)

Application specific loss minimization using gradient boosting. - Bin Zhang 009; Abhinav Sethy; Tara N. Sainath; Bhuvana Ramabhadran (ICASSP, 2011)

Convergence of Line Search A-Function Methods. - Dimitri Kanevsky; David Nahamoo; Tara N. Sainath; Bhuvana Ramabhadran (INTERSPEECH, 2011)

Reducing Computational Complexities of Exemplar-Based Sparse Representations with Applications to Large Vocabulary Speech Recognition. - Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo; Dimitri Kanevsky (INTERSPEECH, 2011)

Exemplar-Based Sparse Representation Features: From TIMIT to LVCSR. - Tara N. Sainath; Bhuvana Ramabhadran; Michael Picheny; David Nahamoo; Dimitri Kanevsky (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

N-best entropy based data selection for acoustic modeling. - Nobuyasu Itoh; Tara N. Sainath; Dan-Ning Jiang; Jie Zhou; Bhuvana Ramabhadran (ICASSP, 2012)

Improved pre-training of Deep Belief Networks using Sparse Encoding Symmetric Machines. - Christian Plahl; Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo (ICASSP, 2012)

Auto-encoder bottleneck features using deep belief networks. - Tara N. Sainath; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2012)

Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization. - Brian Kingsbury; Tara N. Sainath; Hagen Soltau (INTERSPEECH, 2012)

Enhancing Exemplar-Based Posteriors for Speech Recognition Tasks. - Tara N. Sainath; David Nahamoo; Dimitri Kanevsky; Bhuvana Ramabhadran (INTERSPEECH, 2012)

Deep Neural Network Language Models. - Ebru Arisoy; Tara N. Sainath; Brian Kingsbury; Bhuvana Ramabhadran (WLM@NAACL-HLT, 2012)

Exemplar-Based Processing for Speech Recognition: An Overview. - Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo; Dimitri Kanevsky; Dirk Van Compernolle; Kris Demuynck; Jort F. Gemmeke; Jerome R. Bellegarda; Shiva Sundaram (IEEE Signal Process. Mag., 2012)

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. - Tara N. Sainath; Lior Horesh; Brian Kingsbury; Aleksandr Y. Aravkin; Bhuvana Ramabhadran (ASRU, 2013)

Improvements to Deep Convolutional Neural Networks for LVCSR. - Tara N. Sainath; Brian Kingsbury; Abdel-rahman Mohamed; George E. Dahl; George Saon; Hagen Soltau; Tomás Beran; Aleksandr Y. Aravkin; Bhuvana Ramabhadran (ASRU, 2013)

Learning filter banks within a deep neural network framework. - Tara N. Sainath; Brian Kingsbury; Abdel-rahman Mohamed; Bhuvana Ramabhadran (ASRU, 2013)

Developing speech recognition systems for corpus indexing under the IARPA Babel program. - Jia Cui; Xiaodong Cui; Bhuvana Ramabhadran; Janice Kim; Brian Kingsbury; Jonathan Mamou; Lidia Mangu; Michael Picheny; Tara N. Sainath; Abhinav Sethy (ICASSP, 2013)

Improving deep neural networks for LVCSR using rectified linear units and dropout. - George E. Dahl; Tara N. Sainath; Geoffrey E. Hinton (ICASSP, 2013)

An evaluation of posterior modeling techniques for phonetic recognition. - Rohit Prabhavalkar; Tara N. Sainath; David Nahamoo; Bhuvana Ramabhadran; Dimitri Kanevsky (ICASSP, 2013)

Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets. - Tara N. Sainath; Brian Kingsbury; Vikas Sindhwani; Ebru Arisoy; Bhuvana Ramabhadran (ICASSP, 2013)

Deep convolutional neural networks for LVCSR. - Tara N. Sainath; Abdel-rahman Mohamed; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2013)

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. - Tara N. Sainath; Lior Horesh; Brian Kingsbury; Aleksandr Y. Aravkin; Bhuvana Ramabhadran (CoRR, 2013)

Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks. - Tara N. Sainath; Brian Kingsbury; Hagen Soltau; Bhuvana Ramabhadran (IEEE Trans. Speech Audio Process., 2013)

Kernel methods match Deep Neural Networks on TIMIT. - Po-Sen Huang; Haim Avron; Tara N. Sainath; Vikas Sindhwani; Bhuvana Ramabhadran (ICASSP, 2014)

Deep Scattering Spectrum with deep neural networks. - Vijayaditya Peddinti; Tara N. Sainath; Shay Maymon; Bhuvana Ramabhadran; David Nahamoo; Vaibhava Goel (ICASSP, 2014)

Improvements to filterbank and delta learning within a deep neural network framework. - Tara N. Sainath; Brian Kingsbury; Abdel-rahman Mohamed; George Saon; Bhuvana Ramabhadran (ICASSP, 2014)

Joint training of convolutional and non-convolutional neural networks. - Hagen Soltau; George Saon; Tara N. Sainath (ICASSP, 2014)

Parallel deep neural network training for LVCSR tasks using blue gene/Q. - Tara N. Sainath; I-Hsin Chung; Bhuvana Ramabhadran; Michael Picheny; John A. Gunnels; Brian Kingsbury; George Saon; Vernon Austel; Upendra V. Chaudhari (INTERSPEECH, 2014)

Deep scattering spectra with deep neural networks for LVCSR tasks. - Tara N. Sainath; Vijayaditya Peddinti; Brian Kingsbury; Petr Fousek; Bhuvana Ramabhadran; David Nahamoo (INTERSPEECH, 2014)

Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Arun Narayanan; Michiel Bacchiani; Andrew W. Senior (ASRU, 2015)

Acoustic modelling with CD-CTC-SMBR LSTM RNNS. - Andrew W. Senior; Hasim Sak; Felix de Chaumont Quitry; Tara N. Sainath; Kanishka Rao (ASRU, 2015)

Query-by-example keyword spotting using long short-term memory networks. - Guoguo Chen; Carolina Parada; Tara N. Sainath (ICASSP, 2015)

Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks. - Rohit Prabhavalkar; Raziel Alvarez; Carolina Parada; Preetum Nakkiran; Tara N. Sainath (ICASSP, 2015)

Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks. - Tara N. Sainath; Oriol Vinyals; Andrew W. Senior; Hasim Sak (ICASSP, 2015)

Locally-connected and convolutional neural networks for small footprint speaker recognition. - Yu-hsin Chen; Ignacio López-Moreno; Tara N. Sainath; Mirkó Visontai; Raziel Alvarez; Carolina Parada (INTERSPEECH, 2015)

Large vocabulary automatic speech recognition for children. - Hank Liao; Golan Pundak; Olivier Siohan; Melissa K. Carroll; Noah Coccaro; Qi-Ming Jiang; Tara N. Sainath; Andrew W. Senior; Françoise Beaufays; Michiel Bacchiani (INTERSPEECH, 2015)

Convolutional neural networks for small-footprint keyword spotting. - Tara N. Sainath; Carolina Parada (INTERSPEECH, 2015)

Learning the speech front-end with raw waveform CLDNNs. - Tara N. Sainath; Ron J. Weiss; Andrew W. Senior; Kevin W. Wilson; Oriol Vinyals (INTERSPEECH, 2015)

Structured Transforms for Small-Footprint Deep Learning. - Vikas Sindhwani; Tara N. Sainath; Sanjiv Kumar (NIPS, 2015)

Deep Convolutional Neural Networks for Large-scale Speech Tasks. - Tara N. Sainath; Brian Kingsbury; George Saon; Hagen Soltau; Abdel-rahman Mohamed; George E. Dahl; Bhuvana Ramabhadran (Neural Networks, 2015)

Learning compact recurrent neural networks. - Zhiyun Lu; Vikas Sindhwani; Tara N. Sainath (ICASSP, 2016)

Factored spatial and spectral multichannel raw waveform CLDNNs. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Arun Narayanan; Michiel Bacchiani (ICASSP, 2016)

Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition. - Bo Li 028; Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Michiel Bacchiani (INTERSPEECH, 2016)

Lower Frame Rate Neural Network Acoustic Models. - Golan Pundak; Tara N. Sainath (INTERSPEECH, 2016)

Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks. - Tara N. Sainath; Bo Li 028 (INTERSPEECH, 2016)

Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction. - Tara N. Sainath; Arun Narayanan; Ron J. Weiss; Ehsan Variani; Kevin W. Wilson; Michiel Bacchiani; Izhak Shafran (INTERSPEECH, 2016)

Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling. - Ehsan Variani; Tara N. Sainath; Izhak Shafran; Michiel Bacchiani (INTERSPEECH, 2016)

Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection. - Rubén Zazo; Tara N. Sainath; Gabor Simko; Carolina Parada (INTERSPEECH, 2016)

Raw Multichannel Processing Using Deep Neural Networks. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Arun Narayanan; Michiel Bacchiani; Bo Li 028; Ehsan Variani; Izhak Shafran; Andrew W. Senior; Kean K. Chin; Ananya Misra; Chanwoo Kim 001 (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. - Khe Chai Sim; Arun Narayanan; Tom Bagby; Tara N. Sainath; Michiel Bacchiani (ASRU, 2017)

Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition. - Shuo-Yiin Chang; Bo Li 028; Tara N. Sainath; Gabor Simko; Carolina Parada (INTERSPEECH, 2017)

Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home. - Chanwoo Kim 001; Ananya Misra; Kean K. Chin; Thad Hughes; Arun Narayanan; Tara N. Sainath; Michiel Bacchiani (INTERSPEECH, 2017)

Reducing the Computational Complexity of Two-Dimensional LSTMs. - Bo Li 028; Tara N. Sainath (INTERSPEECH, 2017)

Acoustic Modeling for Google Home. - Bo Li 028; Tara N. Sainath; Arun Narayanan; Joe Caroselli; Michiel Bacchiani; Ananya Misra; Izhak Shafran; Hasim Sak; Golan Pundak; Kean K. Chin; Khe Chai Sim; Ron J. Weiss; et al. (INTERSPEECH, 2017)

A Comparison of Sequence-to-Sequence Models for Speech Recognition. - Rohit Prabhavalkar; Kanishka Rao; Tara N. Sainath; Bo Li 028; Leif Johnson; Navdeep Jaitly (INTERSPEECH, 2017)

An Analysis of "Attention" in Sequence-to-Sequence Models. - Rohit Prabhavalkar; Tara N. Sainath; Bo Li 028; Kanishka Rao; Navdeep Jaitly (INTERSPEECH, 2017)

Highway-LSTM and Recurrent Highway Networks for Speech Recognition. - Golan Pundak; Tara N. Sainath (INTERSPEECH, 2017)

Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training. - Tara N. Sainath; Vijayaditya Peddinti; Olivier Siohan; Arun Narayanan (INTERSPEECH, 2017)

Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model. - Bo Li 028; Tara N. Sainath; Khe Chai Sim; Michiel Bacchiani; Eugene Weinstein; Patrick Nguyen; Zhifeng Chen; Yonghui Wu; Kanishka Rao (CoRR, 2017)

Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Bo Li 028; Arun Narayanan; Ehsan Variani; Michiel Bacchiani; Izhak Shafran; Andrew W. Senior; Kean K. Chin; Ananya Misra; Chanwoo Kim 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. - I-Hsin Chung; Tara N. Sainath; Bhuvana Ramabhadran; Michael Picheny; John A. Gunnels; Vernon Austel; Upendra V. Chaudhari; Brian Kingsbury (IEEE Trans. Parallel Distributed Syst., 2017)

Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. - Shuo-Yiin Chang; Bo Li 028; Gabor Simko; Tara N. Sainath; Anshuman Tripathi; Aäron van den Oord; Oriol Vinyals (ICASSP, 2018)

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. - Chung-Cheng Chiu; Tara N. Sainath; Yonghui Wu; Rohit Prabhavalkar; Patrick Nguyen; Zhifeng Chen; Anjuli Kannan; Ron J. Weiss; Kanishka Rao; Ekaterina Gonina; Navdeep Jaitly; Bo Li 028; et al. (ICASSP, 2018)

Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. - Jahn Heymann; Michiel Bacchiani; Tara N. Sainath (ICASSP, 2018)

An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model. - Anjuli Kannan; Yonghui Wu; Patrick Nguyen; Tara N. Sainath; Zhifeng Chen; Rohit Prabhavalkar (ICASSP, 2018)

Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition. - Chanwoo Kim 001; Tara N. Sainath; Arun Narayanan; Ananya Misra; Rajeev C. Nongpiur; Michiel Bacchiani (ICASSP, 2018)

Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model. - Bo Li 028; Tara N. Sainath; Khe Chai Sim; Michiel Bacchiani; Eugene Weinstein; Patrick Nguyen; Zhifeng Chen; Yanghui Wu; Kanishka Rao (ICASSP, 2018)

Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models. - Rohit Prabhavalkar; Tara N. Sainath; Yonghui Wu; Patrick Nguyen; Zhifeng Chen; Chung-Cheng Chiu; Anjuli Kannan (ICASSP, 2018)

Improving the Performance of Online Neural Transducer Models. - Tara N. Sainath; Chung-Cheng Chiu; Rohit Prabhavalkar; Anjuli Kannan; Yonghui Wu; Patrick Nguyen; Zhifeng Chen (ICASSP, 2018)

No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. - Tara N. Sainath; Rohit Prabhavalkar; Shankar Kumar; Seungji Lee; Anjuli Kannan; David Rybach; Vlad Schogol; Patrick Nguyen; Bo Li 028; Yonghui Wu; Zhifeng Chen; Chung-Cheng Chiu (ICASSP, 2018)

Multilingual Speech Recognition with a Single End-to-End Model. - Shubham Toshniwal; Tara N. Sainath; Ron J. Weiss; Bo Li 028; Pedro J. Moreno 001; Eugene Weinstein; Kanishka Rao (ICASSP, 2018)

Compression of End-to-End Models. - Ruoming Pang; Tara N. Sainath; Rohit Prabhavalkar; Suyog Gupta; Yonghui Wu; Shuyuan Zhang 002; Chung-Cheng Chiu (INTERSPEECH, 2018)

Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. - Khe Chai Sim; Arun Narayanan; Ananya Misra; Anshuman Tripathi; Golan Pundak; Tara N. Sainath; Parisa Haghani; Bo Li 028; Michiel Bacchiani (INTERSPEECH, 2018)

Contextual Speech Recognition in End-to-end Neural Network Systems Using Beam Search. - Ian Williams; Anjuli Kannan; Petar S. Aleksic; David Rybach; Tara N. Sainath (INTERSPEECH, 2018)

Deep Context: End-to-end Contextual Speech Recognition. - Golan Pundak; Tara N. Sainath; Rohit Prabhavalkar; Anjuli Kannan; Ding Zhao (SLT, 2018)

A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition. - Shubham Toshniwal; Anjuli Kannan; Chung-Cheng Chiu; Yonghui Wu; Tara N. Sainath; Karen Livescu (SLT, 2018)

A Comparison of End-to-End Models for Long-Form Speech Recognition. - Chung-Cheng Chiu; Anjuli Kannan; Rohit Prabhavalkar; Zhifeng Chen; Tara N. Sainath; Yonghui Wu; Wei Han 002; Yu Zhang 033; Ruoming Pang; Sergey Kishchenko; Patrick Nguyen; Arun Narayanan; et al. (ASRU, 2019)

Recognizing Long-Form Speech Using Streaming End-to-End Models. - Arun Narayanan; Rohit Prabhavalkar; Chung-Cheng Chiu; David Rybach; Tara N. Sainath; Trevor Strohman (ASRU, 2019)

Contextual Speech Recognition with Difficult Negative Training Examples. - Uri Alon 002; Golan Pundak; Tara N. Sainath (ICASSP, 2019)

Semi-supervised Training for End-to-end Models via Weak Distillation. - Bo Li 028; Tara N. Sainath; Ruoming Pang; Zelin Wu (ICASSP, 2019)

Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition. - Antoine Bruguier; Rohit Prabhavalkar; Golan Pundak; Tara N. Sainath (ICASSP, 2019)

Joint Endpointing and Decoding with End-to-end Models. - Shuo-Yiin Chang; Rohit Prabhavalkar; Yanzhang He; Tara N. Sainath; Gabor Simko (ICASSP, 2019)

A Spelling Correction Model for End-to-end Speech Recognition. - Jinxi Guo; Tara N. Sainath; Ron J. Weiss (ICASSP, 2019)

Streaming End-to-end Speech Recognition for Mobile Devices. - Yanzhang He; Tara N. Sainath; Rohit Prabhavalkar; Ian McGraw; Raziel Alvarez; Ding Zhao; David Rybach; Anjuli Kannan; Yonghui Wu; Ruoming Pang; Qiao Liang 001; Deepti Bhatia; et al. (ICASSP, 2019)

Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes. - Bo Li 028; Yu Zhang 033; Tara N. Sainath; Yonghui Wu; William Chan (ICASSP, 2019)

Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. - Ke Hu; Antoine Bruguier; Tara N. Sainath; Rohit Prabhavalkar; Golan Pundak (INTERSPEECH, 2019)

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model. - Anjuli Kannan; Arindrima Datta; Tara N. Sainath; Eugene Weinstein; Bhuvana Ramabhadran; Yonghui Wu; Ankur Bapna; Zhifeng Chen; Seungji Lee (INTERSPEECH, 2019)

Improving Performance of End-to-End ASR on Numeric Sequences. - Cal Peyser; Hao Zhang 010; Tara N. Sainath; Zelin Wu (INTERSPEECH, 2019)

Two-Pass End-to-End Speech Recognition. - Tara N. Sainath; Ruoming Pang; David Rybach; Yanzhang He; Rohit Prabhavalkar; Wei Li 133; Mirkó Visontai; Qiao Liang 001; Trevor Strohman; Yonghui Wu; Ian McGraw; Chung-Cheng Chiu (INTERSPEECH, 2019)

Shallow-Fusion End-to-End Contextual Biasing. - Ding Zhao; Tara N. Sainath; David Rybach; Pat Rondon; Deepti Bhatia; Bo Li 028; Ruoming Pang (INTERSPEECH, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Deep Learning for Audio Signal Processing. - Hendrik Purwins; Bo Li 028; Tuomas Virtanen; Jan Schlüter; Shuo-Yiin Chang; Tara N. Sainath (IEEE J. Sel. Top. Signal Process., 2019)

Deliberation Model Based Two-Pass End-To-End Speech Recognition. - Ke Hu; Tara N. Sainath; Ruoming Pang; Rohit Prabhavalkar (ICASSP, 2020)

Towards Fast and Accurate Streaming End-To-End ASR. - Bo Li 028; Shuo-Yiin Chang; Tara N. Sainath; Ruoming Pang; Yanzhang He; Trevor Strohman; Yonghui Wu (ICASSP, 2020)

Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion. - Cal Peyser; Tara N. Sainath; Golan Pundak (ICASSP, 2020)

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (ICASSP, 2020)

An Attention-Based Joint Acoustic and Text on-Device End-To-End Model. - Tara N. Sainath; Ruoming Pang; Ron J. Weiss; Yanzhang He; Chung-Cheng Chiu; Trevor Strohman (ICASSP, 2020)

Multistate Encoding with End-To-End Speech RNN Transducer Network. - Zelin Wu; Bo Li 028; Yu Zhang 033; Petar S. Aleksic; Tara N. Sainath (ICASSP, 2020)

Low Latency Speech Recognition Using End-to-End Prefetching. - Shuo-Yiin Chang; Bo Li 028; David Rybach; Yanzhang He; Wei Li 133; Tara N. Sainath; Trevor Strohman (INTERSPEECH, 2020)

Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. - Cal Peyser; Sepand Mavandadi; Tara N. Sainath; James Apfel; Ruoming Pang; Shankar Kumar (INTERSPEECH, 2020)

Emitting Word Timings with End-to-End Models. - Tara N. Sainath; Ruoming Pang; David Rybach; Basi García; Trevor Strohman (INTERSPEECH, 2020)

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (CoRR, 2020)

Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling. - Jiahui Yu; Wei Han 002; Anmol Gulati; Chung-Cheng Chiu; Bo Li 028; Tara N. Sainath; Yonghui Wu; Ruoming Pang (CoRR, 2020)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma; Junwen Bai (ASRU, 2021)

A Better and Faster end-to-end Model for Streaming ASR. - Bo Li 028; Anmol Gulati; Jiahui Yu; Tara N. Sainath; Chung-Cheng Chiu; Arun Narayanan; Shuo-Yiin Chang; Ruoming Pang; Yanzhang He; James Qin; Wei Han 002; Qiao Liang 001; et al. (ICASSP, 2021)

Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. - Arun Narayanan; Tara N. Sainath; Ruoming Pang; Jiahui Yu; Chung-Cheng Chiu; Rohit Prabhavalkar; Ehsan Variani; Trevor Strohman (ICASSP, 2021)

Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. - Rohit Prabhavalkar; Yanzhang He; David Rybach; Sean Campbell; Arun Narayanan; Trevor Strohman; Tara N. Sainath (ICASSP, 2021)

Learning Word-Level Confidence for Subword End-To-End ASR. - David Qiu; Qiujia Li; Yanzhang He; Yu Zhang 033; Bo Li 028; Liangliang Cao; Rohit Prabhavalkar; Deepti Bhatia; Wei Li 133; Ke Hu; Tara N. Sainath; Ian McGraw (ICASSP, 2021)

Echo State Speech Recognition. - Harsh Shrivastava 001; Ankush Garg; Yuan Cao 007; Yu Zhang 033; Tara N. Sainath (ICASSP, 2021)

FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. - Jiahui Yu; Chung-Cheng Chiu; Bo Li 028; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; Arun Narayanan; Wei Han 002; Anmol Gulati; Yonghui Wu; Ruoming Pang (ICASSP, 2021)

Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling. - Jiahui Yu; Wei Han 002; Anmol Gulati; Chung-Cheng Chiu; Bo Li 028; Tara N. Sainath; Yonghui Wu; Ruoming Pang (ICLR, 2021)

Tied & Reduced RNN-T Decoder. - Rami Botros; Tara N. Sainath; Robert David; Emmanuel Guzman; Wei Li 133; Yanzhang He (Interspeech, 2021)

Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. - W. Ronny Huang; Tara N. Sainath; Cal Peyser; Shankar Kumar; David Rybach; Trevor Strohman (Interspeech, 2021)

A Deliberation-Based Joint Acoustic and Text Decoder. - Sepand Mavandadi; Tara N. Sainath; Ke Hu; Zelin Wu (Interspeech, 2021)

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Ruoming Pang; David Rybach; Cyril Allauzen; Ehsan Variani; James Qin; Quoc-Nam Le-The; Shuo-Yiin Chang; Bo Li 028; et al. (Interspeech, 2021)

Multitask Training with Text Data for End-to-End Speech Recognition. - Peidong Wang; Tara N. Sainath; Ron J. Weiss (Interspeech, 2021)

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. - Chung-Cheng Chiu; Arun Narayanan; Wei Han 002; Rohit Prabhavalkar; Yu Zhang 033; Navdeep Jaitly; Ruoming Pang; Tara N. Sainath; Patrick Nguyen; Liangliang Cao; Yonghui Wu (SLT, 2021)

Transformer Based Deliberation for Two-Pass Speech Recognition. - Ke Hu; Ruoming Pang; Tara N. Sainath; Trevor Strohman (SLT, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma (CoRR, 2021)

Joint Unsupervised and Supervised Training for Multilingual ASR. - Junwen Bai; Bo Li 028; Yu Zhang 033; Ankur Bapna; Nikhil Siddhartha; Khe Chai Sim; Tara N. Sainath (ICASSP, 2022)

Transducer-Based Streaming Deliberation for Cascaded Encoders. - Ke Hu; Tara N. Sainath; Arun Narayanan; Ruoming Pang; Trevor Strohman (ICASSP, 2022)

Massively Multilingual ASR: A Lifelong Learning Solution. - Bo Li 028; Ruoming Pang; Yu Zhang 033; Tara N. Sainath; Trevor Strohman; Parisa Haghani; Yun Zhu; Brian Farris; Neeraj Gaur; Manasa Prasad (ICASSP, 2022)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. - Weiran Wang; Ke Hu; Tara N. Sainath (ICASSP, 2022)

Improving the Fusion of Acoustic and Text Representations in RNN-T. - Chao Zhang 031; Bo Li 028; Zhiyun Lu; Tara N. Sainath; Shuo-Yiin Chang (ICASSP, 2022)

Turn-Taking Prediction for Natural Conversational Speech. - Shuo-Yiin Chang; Bo Li 028; Tara N. Sainath; Chao Zhang 031; Trevor Strohman; Qiao Liang 001; Yanzhang He (INTERSPEECH, 2022)

Streaming Intended Query Detection using E2E Modeling for Continued Conversation. - Shuo-Yiin Chang; Guru Prakash; Zelin Wu; Tara N. Sainath; Bo Li 028; Qiao Liang 001; Adam Stambler; Shyam Upadhyay; Manaal Faruqui; Trevor Strohman (INTERSPEECH, 2022)

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. - Shaojin Ding; Weiran Wang; Ding Zhao; Tara N. Sainath; Yanzhang He; Robert David; Rami Botros; Xin Wang 016; Rina Panigrahy; Qiao Liang 001; Dongseong Hwang; Ian McGraw; et al. (INTERSPEECH, 2022)

Improving Deliberation by Text-Only and Semi-Supervised Training. - Ke Hu; Tara N. Sainath; Yanzhang He; Rohit Prabhavalkar; Trevor Strohman; Sepand Mavandadi; Weiran Wang (INTERSPEECH, 2022)

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. - W. Ronny Huang; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Rohit Prabhavalkar; Cal Peyser; Zhiyun Lu; Cyril Allauzen (INTERSPEECH, 2022)

Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. - W. Ronny Huang; Cal Peyser; Tara N. Sainath; Ruoming Pang; Trevor D. Strohman; Shankar Kumar (INTERSPEECH, 2022)

A Language Agnostic Multilingual Streaming On-Device ASR System. - Bo Li 028; Tara N. Sainath; Ruoming Pang; Shuo-Yiin Chang; Qiumin Xu; Trevor Strohman; Vince Chen; Qiao Liang 001; Heguang Liu; Yanzhang He; Parisa Haghani; Sameer Bidichandani (INTERSPEECH, 2022)

Towards Disentangled Speech Representations. - Cal Peyser; W. Ronny Huang; Andrew Rosenberg; Tara N. Sainath; Michael Picheny; Kyunghyun Cho (INTERSPEECH, 2022)

Improving Rare Word Recognition with LM-aware MWER Training. - Weiran Wang; Tongzhou Chen; Tara N. Sainath; Ehsan Variani; Rohit Prabhavalkar; W. Ronny Huang; Bhuvana Ramabhadran; Neeraj Gaur; Sepand Mavandadi; Cal Peyser; Trevor Strohman; Yanzhang He; et al. (INTERSPEECH, 2022)

Streaming Align-Refine for Non-autoregressive Deliberation. - Weiran Wang; Ke Hu; Tara N. Sainath (INTERSPEECH, 2022)

Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. - Chao Zhang 031; Bo Li 028; Tara N. Sainath; Trevor Strohman; Sepand Mavandadi; Shuo-Yiin Chang; Parisa Haghani (INTERSPEECH, 2022)

Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. - Shaan Bijwadia; Shuo-Yiin Chang; Bo Li 028; Tara N. Sainath; Chao Zhang 031; Yanzhang He (SLT, 2022)

Scaling Up Deliberation For Multilingual ASR. - Ke Hu; Bo Li 028; Tara N. Sainath (SLT, 2022)

A Truly Multilingual First Pass and Monolingual Second Pass Streaming on-Device ASR System. - Sepand Mavandadi; Bo Li 028; Chao Zhang 031; Brian Farris; Tara N. Sainath; Trevor Strohman (SLT, 2022)

NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. - Tsendsuren Munkhdalai; Zelin Wu; Golan Pundak; Khe Chai Sim; Jiayang Li; Pat Rondon; Tara N. Sainath (SLT, 2022)

Dual Learning for Large Vocabulary On-Device ASR. - Cal Peyser; W. Ronny Huang; Tara N. Sainath; Rohit Prabhavalkar; Michael Picheny; Kyunghyun Cho (SLT, 2022)

JOIST: A Joint Speech and Text Streaming Model for ASR. - Tara N. Sainath; Rohit Prabhavalkar; Ankur Bapna; Yu Zhang 033; Zhouyuan Huo; Zhehuai Chen; Bo Li 028; Weiran Wang; Trevor Strohman (SLT, 2022)

Editorial Editorial of Special Issue on Self-Supervised Learning for Speech and Audio Processing. - Hung-Yi Lee; Shinji Watanabe 001; Karen Livescu; Abdelrahman Mohamed; Tara N. Sainath (IEEE J. Sel. Top. Signal Process., 2022)

Self-Supervised Speech Representation Learning: A Review. - Abdelrahman Mohamed; Hung-yi Lee; Lasse Borgholt; Jakob D. Havtorn; Joakim Edin; Christian Igel; Katrin Kirchhoff; Shang-Wen Li 001; Karen Livescu; Lars Maaløe; Tara N. Sainath; Shinji Watanabe 001 (IEEE J. Sel. Top. Signal Process., 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

Improved Long-Form Speech Recognition By Jointly Modeling The Primary And Non-Primary Speakers. - Guru Prakash Arumugam; Shuo-Yiin Chang; Tara N. Sainath; Rohit Prabhavalkar; Quan Wang; Shaan Bijwadia (ASRU, 2023)

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. - Xingyu Cai; David Qiu; Shaojin Ding; Dongseong Hwang; Weiran Wang; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He (ASRU, 2023)

Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text. - Ke Hu; Tara N. Sainath; Bo Li 028; Yu Zhang 033; Yong Cheng; Tao Wang; Yujing Zhang; Frederick Liu (ASRU, 2023)

Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR. - Rami Botros; Rohit Prabhavalkar; Johan Schalkwyk; Ciprian Chelba; Tara N. Sainath; Françoise Beaufays (ICASSP, 2023)

Context-Aware end-to-end ASR Using Self-Attentive Embedding and Tensor Fusion. - Shuo-Yiin Chang; Chao Zhang 031; Tara N. Sainath; Bo Li 028; Trevor Strohman (ICASSP, 2023)

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. - Steven M. Hernandez; Ding Zhao; Shaojin Ding; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He; Ian McGraw (ICASSP, 2023)

Massively Multilingual Shallow Fusion with Large Language Models. - Ke Hu; Tara N. Sainath; Bo Li 028; Nan Du 002; Yanping Huang; Andrew M. Dai; Yu Zhang 033; Rodrigo Cabrera; Zhifeng Chen; Trevor Strohman (ICASSP, 2023)

E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. - W. Ronny Huang; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; David Rybach; Robert David; Rohit Prabhavalkar; Cyril Allauzen; Cal Peyser; Trevor D. Strohman (ICASSP, 2023)

Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. - Zhouyuan Huo; Khe Chai Sim; Bo Li 028; Dongseong Hwang; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

Efficient Domain Adaptation for Speech Foundation Models. - Bo Li 028; Dongseong Hwang; Zhouyuan Huo; Junwen Bai; Guru Prakash; Tara N. Sainath; Khe Chai Sim; Yu Zhang 033; Wei Han 002; Trevor Strohman; Françoise Beaufays (ICASSP, 2023)

JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. - Zhong Meng; Weiran Wang; Rohit Prabhavalkar; Tara N. Sainath; Tongzhou Chen; Ehsan Variani; Yu Zhang 033; Bo Li 028; Andrew Rosenberg; Bhuvana Ramabhadran (ICASSP, 2023)

A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. - Cal Peyser; Michael Picheny; Kyunghyun Cho; Rohit Prabhavalkar; W. Ronny Huang; Tara N. Sainath (ICASSP, 2023)

Improving Contextual Biasing with Text Injection. - Tara N. Sainath; Rohit Prabhavalkar; Diamantino Caseiro; Pat Rondon; Cyril Allauzen (ICASSP, 2023)

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. - Weiran Wang; Ding Zhao; Shaojin Ding; Hao Zhang 010; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Yanzhang He; Ian McGraw; Shankar Kumar (ICASSP, 2023)

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Rohit Prabhavalkar; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Tara N. Sainath; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2023)

UML: A Universal Monolingual Output Layer For Multilingual Asr. - Chao Zhang 031; Bo Li 028; Tara N. Sainath; Trevor Strohman; Shuo-Yiin Chang (ICASSP, 2023)

How to Estimate Model Transferability of Pre-Trained Speech Models? - Zih-Ching Chen; Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Shuo-Yiin Chang; Rohit Prabhavalkar; Hung-yi Lee; Tara N. Sainath (INTERSPEECH, 2023)

Mixture-of-Expert Conformer for Streaming Multilingual ASR. - Ke Hu; Bo Li 028; Tara N. Sainath; Yu Zhang 033; Françoise Beaufays (INTERSPEECH, 2023)

Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. - W. Ronny Huang; Hao Zhang 010; Shankar Kumar; Shuo-Yiin Chang; Tara N. Sainath (INTERSPEECH, 2023)

Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. - Zhouyuan Huo; Khe Chai Sim; Dongseong Hwang; Tsendsuren Munkhdalai; Tara N. Sainath; Pedro Moreno Mengibar (INTERSPEECH, 2023)

Modular Domain Adaptation for Conformer-Based Streaming ASR. - Qiujia Li; Bo Li 028; Dongseong Hwang; Tara N. Sainath; Pedro Moreno Mengibar (INTERSPEECH, 2023)

Improving Joint Speech-Text Representations Without Alignment. - Cal Peyser; Zhong Meng; Rohit Prabhavalkar; Andrew Rosenberg; Tara N. Sainath; Michael Picheny; Kyunghyun Cho; Ke Hu (INTERSPEECH, 2023)

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. - Yu Zhang 033; Wei Han 002; James Qin; Yongqiang Wang; Ankur Bapna; Zhehuai Chen; Nanxin Chen; Bo Li 028; Vera Axelrod; Gary Wang; Zhong Meng; Ke Hu; et al. (CoRR, 2023)

Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. - Rami Botros; Anmol Gulati; Tara N. Sainath; Krzysztof Choromanski; Ruoming Pang; Trevor Strohman; Weiran Wang; Jiahui Yu (CoRR, 2023)

AudioPaLM: A Large Language Model That Can Speak and Listen. - Paul K. Rubenstein; Chulayuth Asawaroengchai; Duc Dung Nguyen; Ankur Bapna; Zalán Borsos; Félix de Chaumont Quitry; Peter Chen; Dalia El Badawy; Wei Han 002; Eugene Kharitonov; Hannah Muckenhirn; Dirk Padfield; et al. (CoRR, 2023)

Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. - Shaan Bijwadia; Shuo-Yiin Chang; Weiran Wang; Zhong Meng; Hao Zhang 010; Tara N. Sainath (CoRR, 2023)

Augmenting conformers with structured state space models for online speech recognition. - Haozhe Shan; Albert Gu; Zhong Meng; Weiran Wang; Krzysztof Choromanski; Tara N. Sainath (CoRR, 2023)

Massive End-to-end Models for Short Search Queries. - Weiran Wang; Rohit Prabhavalkar; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Zhong Meng; CJ Zheng; Yanzhang He; et al. (CoRR, 2023)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - Weiran Wang; Zelin Wu; Diamantino Caseiro; Tsendsuren Munkhdalai; Khe Chai Sim; Pat Rondon; Golan Pundak; Gan Song; Rohit Prabhavalkar; Zhong Meng; Ding Zhao; Tara N. Sainath; et al. (CoRR, 2023)

Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. - Wen Wu 007; Bo Li 028; Chao Zhang 031; Chung-Cheng Chiu; Qiujia Li; Junwen Bai; Tara N. Sainath; Philip C. Woodland (ACL (1), 2024)

Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. - Junwen Bai; Bo Li 028; Qiujia Li; Tara N. Sainath; Trevor Strohman (ICASSP, 2024)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

Improving Speech Recognition for African American English with Audio Classification. - Shefali Garg; Zhouyuan Huo; Khe Chai Sim; Suzan Schwartz; Mason Chua; Alëna Aksënova; Tsendsuren Munkhdalai; Levi King; Darryl Wright; Zion Mengesha; Dongseong Hwang; Tara N. Sainath; et al. (ICASSP, 2024)

Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. - W. Ronny Huang; Cyril Allauzen; Tongzhou Chen; Kilol Gupta; Ke Hu; James Qin; Yu Zhang 033; Yongqiang Wang; Shuo-Yiin Chang; Tara N. Sainath (ICASSP, 2024)

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. - Rohit Prabhavalkar; Zhong Meng; Weiran Wang; Adam Stooke; Xingyu Cai; Yanzhang He; Arun Narayanan; Dongseong Hwang; Tara N. Sainath; Pedro J. Moreno 001 (ICASSP, 2024)

Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. - Haozhe Shan; Albert Gu; Zhong Meng; Weiran Wang; Krzysztof Choromanski; Tara N. Sainath (ICASSP, 2024)

A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. - Khe Chai Sim; Zhouyuan Huo; Tsendsuren Munkhdalai; Nikhil Siddhartha; Adam Stooke; Zhong Meng; Bo Li 028; Tara N. Sainath (ICASSP, 2024)

Text Injection for Neural Contextual Biasing. - Zhong Meng; Zelin Wu; Rohit Prabhavalkar; Cal Peyser; Weiran Wang; Nanxin Chen; Tara N. Sainath; Bhuvana Ramabhadran (INTERSPEECH, 2024)

Massive End-to-end Speech Recognition Models with Time Reduction. - Weiran Wang; Rohit Prabhavalkar; Haozhe Shan; Zhong Meng; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Chengjian Zheng; et al. (NAACL-HLT, 2024)

Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models. - Tsendsuren Munkhdalai; Youzheng Chen; Khe Chai Sim; Fadi Biadsy; Tara N. Sainath; Pedro Moreno Mengibar (CoRR, 2024)

End-to-End Speech Recognition: A Survey. - Rohit Prabhavalkar; Takaaki Hori; Tara N. Sainath; Ralf Schlüter; Shinji Watanabe 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)