Basis superposition precision matrix modelling for large vocabulary continuous speech recognition. - Khe Chai Sim; Mark J. F. Gales (ICASSP (1), 2004)

Development of the CUHTK 2004 Mandarin Conversational Telephone Speech Transcription System. - Mark J. F. Gales; Bin Jia; X. Andrew Liu; Khe Chai Sim; Philip C. Woodland; Kai Yu 004 (ICASSP (1), 2005)

Development of the CU-HTK 2004 Broadcast News Transcription Systems. - Do Yeong Kim; Ho Yin Chan; Gunnar Evermann; Mark J. F. Gales; David Mrva; Khe Chai Sim; Philip C. Woodland (ICASSP (1), 2005)

Investigation of Acoustic Modeling Techniques for LVCSR Systems. - Xunying Liu; Mark J. F. Gales; Khe Chai Sim; Kai Yu 004 (ICASSP (1), 2005)

Adaptation of Precision Matrix Models on Large Vocabulary Continuous Speech Recognition. - Khe Chai Sim; Mark J. F. Gales (ICASSP (1), 2005)

Temporally varying model parameters for large vocabulary continuous speech recognition. - Khe Chai Sim; Mark J. F. Gales (INTERSPEECH, 2005)

The Cu-Htk Mandarin Broadcast News Transcription System. - Rohit Sinha 003; Mark J. F. Gales; Do Yeong Kim; X. Andrew Liu; Khe Chai Sim; Philip C. Woodland (ICASSP (1), 2006)

Minimum phone error training of precision matrix models. - Khe Chai Sim; Mark J. F. Gales (IEEE Trans. Speech Audio Process., 2006)

Semantic Transliteration of Personal Names. - Haizhou Li 001; Khe Chai Sim; Jin-Shea Kuo; Minghui Dong (ACL, 2007)

Consensus Network Decoding for Statistical Machine Translation System Combination. - Khe Chai Sim; William J. Byrne; Mark J. F. Gales; Hichem Sahbi; Philip C. Woodland (ICASSP (4), 2007)

Improving Speech Transcription for Mandarin-English Translation. - Marcus Tomalin; Mark J. F. Gales; X. Andrew Liu; Khe Chai Sim; Rohit Sinha 003; Lan Wang; Philip C. Woodland; Kai Yu 004 (ICASSP (4), 2007)

Fusion of contrastive acoustic models for parallel phonotactic spoken language identification. - Khe Chai Sim; Haizhou Li 001 (INTERSPEECH, 2007)

Discriminative semi-parametric trajectory model for speech recognition. - Khe Chai Sim; Mark J. F. Gales (Comput. Speech Lang., 2007)

Robust phone set mapping using decision tree clustering for cross-lingual phone recognition. - Khe Chai Sim; Haizhou Li 001 (ICASSP, 2008)

Context-sensitive probabilistic phone mapping model for cross-lingual speech recognition. - Khe Chai Sim; Haizhou Li 001 (INTERSPEECH, 2008)

NIST 2007 Language Recognition Evaluation: From the Perspective of IIR. - Haizhou Li 001; Bin Ma 001; Kong-Aik Lee; Khe Chai Sim; Hanwu Sun; Rong Tong; Donglai Zhu; Changhuai You (PACLIC, 2008)

A lattice-based approach to query-by-example spoken document retrieval. - Tee Kiah Chia; Khe Chai Sim; Haizhou Li 001; Hwee Tou Ng (SIGIR, 2008)

On Acoustic Diversification Front-End for Spoken Language Identification. - Khe Chai Sim; Haizhou Li 001 (IEEE Trans. Speech Audio Process., 2008)

Discriminative Product-of-Expert acoustic mapping for cross-lingual phone recognition. - Khe Chai Sim (ASRU, 2009)

The I4U system in NIST 2008 speaker recognition evaluation. - Haizhou Li 001; Bin Ma 001; Kong-Aik Lee; Hanwu Sun; Donglai Zhu; Khe Chai Sim; Changhuai You; Rong Tong; Ismo Kärkkäinen; Chien-Lin Huang; Vladimir Pervouchine; Wu Guo; et al. (ICASSP, 2009)

Stream-based context-sensitive phone mapping for cross-lingual speech recognition. - Khe Chai Sim; Haizhou Li 001 (INTERSPEECH, 2009)

Improving phone verification using state-level posterior features and support vector machine for automatic mispronunciation detection. - Khe Chai Sim (SLaTE, 2009)

Discrete expected likelihood kernel for SVM-based speaker verification. - Kong-Aik Lee; Haizhou Li 001; Chang Huai You; Tomi Kinnunen; Khe Chai Sim (EUSIPCO, 2010)

A minimum variance asynchronous Detection Error Trade-off performance analysis for multi-class detection problems. - Khe Chai Sim (ICASSP, 2010)

Adaptive score fusion using Weighted Logistic Linear Regression for spoken language recognition. - Khe Chai Sim; Kong-Aik Lee (ICASSP, 2010)

Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems. - Bo Li 028; Khe Chai Sim (INTERSPEECH, 2010)

Hidden logistic linear regression for support vector machine based phone verification. - Bo Li 028; Khe Chai Sim (INTERSPEECH, 2010)

Probabilistic state clustering using conditional random field for context-dependent acoustic modelling. - Khe Chai Sim (INTERSPEECH, 2010)

Semi-parametric trajectory modelling using temporally varying feature mapping for speech recognition. - Khe Chai Sim; Shilin Liu (INTERSPEECH, 2010)

Haptic Voice Recognition: Augmenting speech modality with touch events for efficient speech recognition. - Khe Chai Sim (SLT, 2010)

Statistical lattice-based spoken document retrieval. - Tee Kiah Chia; Khe Chai Sim; Haizhou Li 001; Hwee Tou Ng (ACM Trans. Inf. Syst., 2010)

Word level automatic alignment of music and lyrics using vocal synthesis. - Namunu Chinthaka Maddage; Khe Chai Sim; Haizhou Li 001 (ACM Trans. Multim. Comput. Commun. Appl., 2010)

A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition. - Khe Chai Sim; Minh-Thang Luong (ASRU, 2011)

Sequential Classification Criteria for NNs in Automatic Speech Recognition. - Guangsen Wang; Khe Chai Sim (INTERSPEECH, 2011)

Comparison of Smoothing Techniques for Robust Context Dependent Acoustic Modelling in Hybrid NN/HMM Systems. - Guangsen Wang; Khe Chai Sim (INTERSPEECH, 2011)

Using Discrete Probabilities With Bhattacharyya Measure for SVM-Based Speaker Verification. - Kong Aik Lee; Chang Huai You; Haizhou Li 001; Tomi Kinnunen; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition. - Khe Chai Sim (ACL (1), 2012)

Implicit trajectory modelling using temporally varying weight regression for automatic speech recognition. - Shilin Liu; Khe Chai Sim (ICASSP, 2012)

An investigation of tied-mixture GMM based triphone state clustering. - Guangsen Wang; Khe Chai Sim (ICASSP, 2012)

Design and implementation of the note-taking style haptic voice recognition for mobile devices. - Seungwhan Moon; Khe Chai Sim (ICMI, 2012)

Speak-as-you-swipe (SAYS): a multimodal interface combining speech and gesture keyboard synchronously for continuous mobile text entry. - Khe Chai Sim (ICMI, 2012)

ICMI'12 grand challenge: haptic voice recognition. - Khe Chai Sim; Shengdong Zhao 001; Kai Yu 004; Hank Liao (ICMI, 2012)

Improving mandarin predictive text input by augmenting pinyin initials with speech and tonal information. - Guangsen Wang; Bo Li 028; Shilin Liu; Xuancong Wang; Xiaoxuan Wang; Khe Chai Sim (ICMI, 2012)

A Weighted Combination of Speech with Text-based Models for Arabic Diacritization. - Aisha S. Azim; Xiaoxuan Wang; Khe Chai Sim (INTERSPEECH, 2012)

A Two-stage Speaker Adaptation Approach for Subspace Gaussian Mixture Model based Nonnative Speech Recognition. - Bo Li 028; Khe Chai Sim (INTERSPEECH, 2012)

Dynamic Conditional Random Fields for Joint Sentence Boundary and Punctuation Prediction. - Xuancong Wang; Hwee Tou Ng; Khe Chai Sim (INTERSPEECH, 2012)

MOGAT: mobile games with auditory training for children with cochlear implants. - Yinsheng Zhou; Khe Chai Sim; Patsy Tan; Ye Wang 007 (ACM Multimedia, 2012)

The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech. - Zhiyan Duan; Haotian Fang; Bo Li 028; Khe Chai Sim; Ye Wang 007 (APSIPA, 2013)

Context dependent acoustic keyword spotting using deep neural network. - Guangsen Wang; Khe Chai Sim (APSIPA, 2013)

Improving robustness of deep neural networks via spectral masking for automatic speech recognition. - Bo Li 028; Khe Chai Sim (ASRU, 2013)

Multi-stream temporally varying weight regression for cross-lingual speech recognition. - Shilin Liu; Khe Chai Sim (ASRU, 2013)

Context-dependent modelling of deep neural network using logistic regression. - Guangsen Wang; Khe Chai Sim (ASRU, 2013)

Noise adaptive front-end normalization based on Vector Taylor Series for Deep Neural Networks in robust speech recognition. - Bo Li 028; Khe Chai Sim (ICASSP, 2013)

Approximated Parallel Model Combination for efficient noise-robust speech recognition. - Khe Chai Sim (ICASSP, 2013)

An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition. - Bo Li 028; Yu Tsao 001; Khe Chai Sim (INTERSPEECH, 2013)

Parameter clustering for temporally varying weight regression for automatic speech recognition. - Shilin Liu; Khe Chai Sim (INTERSPEECH, 2013)

An investigation of temporally varying weight regression for noise robust speech recognition. - Shilin Liu; Khe Chai Sim (INTERSPEECH, 2013)

Integrating conditional random fields and joint multi-gram model with syllabic features for grapheme-to-phone conversion. - Xiaoxuan Wang; Khe Chai Sim (INTERSPEECH, 2013)

A Beam-Search Decoder for Disfluency Detection. - Xuancong Wang; Hwee Tou Ng; Khe Chai Sim (COLING, 2014)

Combining Punctuation and Disfluency Prediction: An Empirical Study. - Xuancong Wang; Khe Chai Sim; Hwee Tou Ng (EMNLP, 2014)

Second order vector taylor series based robust speech recognition. - Suliang Bu; Yanmin Qian; Khe Chai Sim; Yongbin You; Kai Yu 004 (ICASSP, 2014)

An ideal hidden-activation mask for deep neural networks based noise-robust speech recognition. - Bo Li 028; Khe Chai Sim (ICASSP, 2014)

On combining DNN and GMM with unsupervised speaker adaptation for robust automatic speech recognition. - Shilin Liu; Khe Chai Sim (ICASSP, 2014)

Refinements of regression-based context-dependent modelling of deep neural networks for automatic speech recognition. - Guangsen Wang; Khe Chai Sim (ICASSP, 2014)

Modeling long temporal contexts for robust DNN-based speech recognition. - Bo Li 028; Khe Chai Sim (INTERSPEECH, 2014)

Joint adaptation and adaptive training of TVWR for robust automatic speech recognition. - Shilin Liu; Khe Chai Sim (INTERSPEECH, 2014)

A multimodal stroke-based predictive input for efficient Chinese text entry on mobile devices. - Khe Chai Sim (SLT, 2014)

A Spectral Masking Approach to Noise-Robust Speech Recognition Using Deep Neural Networks. - Bo Li 028; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Temporally Varying Weight Regression: A Semi-Parametric Trajectory Model for Automatic Speech Recognition. - Shilin Liu; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Regression-Based Context-Dependent Modeling of Deep Neural Networks for Speech Recognition. - Guangsen Wang; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Learning factorized feature transforms for speaker normalization. - Lahiru Samarakoon; Khe Chai Sim (ASRU, 2015)

On constructing and analysing an interpretable brain model for the DNN based on hidden activity patterns. - Khe Chai Sim (ASRU, 2015)

Improving the interpretability of deep neural networks with stimulated learning. - Shawn Tan; Khe Chai Sim; Mark J. F. Gales (ASRU, 2015)

An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition. - Hengguan Huang; Khe Chai Sim (ICASSP, 2015)

Joint acoustic factor learning for robust deep neural network based automatic speech recognition. - Souvik Kundu 003; Gautam Mantena; Yanmin Qian; Tian Tan 002; Marc Delcroix; Khe Chai Sim (ICASSP, 2016)

On combining i-vectors and discriminative adaptation methods for unsupervised speaker normalization in DNN acoustic models. - Lahiru Samarakoon; Khe Chai Sim (ICASSP, 2016)

Speaker-aware training of LSTM-RNNS for acoustic modelling. - Tian Tan 002; Yanmin Qian; Dong Yu 001; Souvik Kundu 003; Liang Lu 001; Khe Chai Sim; Xiong Xiao; Yu Zhang 033 (ICASSP, 2016)

Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition. - Shawn Tan; Khe Chai Sim (ICASSP, 2016)

Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech Recognition. - Souvik Kundu 003; Khe Chai Sim; Mark J. F. Gales (INTERSPEECH, 2016)

Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition. - Animesh Prasad; Khe Chai Sim (INTERSPEECH, 2016)

Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models. - Lahiru Samarakoon; Khe Chai Sim (INTERSPEECH, 2016)

Multi-Attribute Factorized Hidden Layer Adaptation for DNN Acoustic Models. - Lahiru Samarakoon; Khe Chai Sim (INTERSPEECH, 2016)

Stimulated Deep Neural Network for Speech Recognition. - Chunyang Wu; Penny Karanasou; Mark J. F. Gales; Khe Chai Sim (INTERSPEECH, 2016)

Entropy-based pruning of hidden units to reduce DNN parameters. - Gautam Mantena; Khe Chai Sim (SLT, 2016)

Low-rank bases for factorized hidden layer adaptation of DNN acoustic models. - Lahiru Samarakoon; Khe Chai Sim (SLT, 2016)

Learning utterance-level normalisation using Variational Autoencoders for robust automatic speech recognition. - Shawn Tan; Khe Chai Sim (SLT, 2016)

Sensitivity-Characterised Activity Neurogram (SCAN) for Visualising and Understanding the Inner Workings of Deep Neural Network. - Khe Chai Sim (IEICE Trans. Inf. Syst., 2016)

Factorized Hidden Layer Adaptation for Deep Neural Network Based Acoustic Modeling. - Lahiru Samarakoon; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Adaptation of Deep Neural Network Acoustic Models for Robust Automatic Speech Recognition. - Khe Chai Sim; Yanmin Qian; Gautam Mantena; Lahiru Samarakoon; Souvik Kundu 003; Tian Tan 002 (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)

An investigation into learning effective speaker subspaces for robust unsupervised DNN adaptation. - Lahiru Samarakoon; Khe Chai Sim; Brian Mak (ICASSP, 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)

Learning Factorized Transforms for Unsupervised Adaptation of LSTM-RNN Acoustic Models. - Lahiru Samarakoon; Brian Mak; Khe Chai Sim (INTERSPEECH, 2017)

An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication. - Khe Chai Sim; 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)

Understanding Recurrent Neural State Using Memory Signatures. - Skanda Koppula; Khe Chai Sim; Kean K. Chin (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)

learning Effective Factorized Hidden Layer Bases Using Student-Teacher Training for LSTM Acoustic Model Adaptation. - Lahiru Samarakoon; Brian Mak; Khe Chai Sim (ICASSP, 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)

Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow. - Tom Bagby; Kanishka Rao; Khe Chai Sim (SLT, 2018)

Toward Domain-Invariant Speech Recognition via Large Scale Training. - Arun Narayanan; Ananya Misra; Khe Chai Sim; Golan Pundak; Anshuman Tripathi; Mohamed Elfeky 001; Parisa Haghani; Trevor Strohman; Michiel Bacchiani (SLT, 2018)

Improving Interpretability and Regularization in Deep Learning. - Chunyang Wu; Mark J. F. Gales; Anton Ragni; Penny Karanasou; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. - Khe Chai Sim; Leif Johnson; Giovanni Motta; Lillian Zhou; Françoise Beaufays; Arnaud Benard; Dhruv Guliani; Andreas Kabel; Nikhil Khare; Tamar Lucassen; Petr Zadrazil; Harry Zhang (ASRU, 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)

Improving CTC Using Stimulated Learning for Sequence Modeling. - Jahn Heymann; Khe Chai Sim; Bo Li 028 (ICASSP, 2019)

An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models. - Khe Chai Sim; Petr Zadrazil; Françoise Beaufays (INTERSPEECH, 2019)

Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. - Mary Gooneratne; Khe Chai Sim; Petr Zadrazil; Andreas Kabel; Françoise Beaufays; Giovanni Motta (ICASSP, 2020)

A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. - Ananya Misra; Dongseong Hwang; Zhouyuan Huo; Shefali Garg; Nikhil Siddhartha; Arun Narayanan; Khe Chai Sim (Interspeech, 2021)

Robust Continuous On-Device Personalization for Automatic Speech Recognition. - Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Tsendsuren Munkhdalai; Françoise Beaufays (Interspeech, 2021)

On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech. - Katrin Tomanek; Françoise Beaufays; Julie Cattiau; Angad Chandorkar; Khe Chai Sim (CoRR, 2021)

Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. - Zhouyuan Huo; Dongseong Hwang; Khe Chai Sim; Shefali Garg; Ananya Misra; Nikhil Siddhartha; Trevor Strohman; Françoise Beaufays (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)

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. - Dongseong Hwang; Ananya Misra; Zhouyuan Huo; Nikhil Siddhartha; Shefali Garg; David Qiu; Khe Chai Sim; Trevor Strohman; Françoise Beaufays; Yanzhang He (ICASSP, 2022)

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. - Tsendsuren Munkhdalai; Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Trevor Strohman; Françoise Beaufays (ICASSP, 2022)

UserLibri: A Dataset for ASR Personalization Using Only Text. - Theresa Breiner; Swaroop Ramaswamy; Ehsan Variani; Shefali Garg; Rajiv Mathews; Khe Chai Sim; Kilol Gupta; Mingqing Chen; Lara McConnaughey (INTERSPEECH, 2022)

Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. - Zhouyuan Huo; Dongseong Hwang; Khe Chai Sim; Shefali Garg; Ananya Misra; Nikhil Siddhartha; Trevor Strohman; Françoise Beaufays (INTERSPEECH, 2022)

Pseudo Label Is Better Than Human Label. - Dongseong Hwang; Khe Chai Sim; Zhouyuan Huo; Trevor Strohman (INTERSPEECH, 2022)

On-the-fly ASR Corrections with Audio Exemplars. - Golan Pundak; Tsendsuren Munkhdalai; Khe Chai Sim (INTERSPEECH, 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)

Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. - David Qiu; Tsendsuren Munkhdalai; Yanzhang He; Khe Chai Sim (SLT, 2022)

Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. - Adam Stooke; Khe Chai Sim; Mason Chua; Tsendsuren Munkhdalai; Trevor Strohman (SLT, 2022)

Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning. - Sandy Ritchie; You-Chi Cheng; Mingqing Chen; Rajiv Mathews; Daan van Esch; Bo Li 028; Khe Chai Sim (CoRR, 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)

Contextual Spelling Correction with Large Language Models. - Gan Song; Zelin Wu; Golan Pundak; Angad Chandorkar; Kandarp Joshi; Xavier Velez; Diamantino Caseiro; Ben Haynor; Weiran Wang; Nikhil Siddhartha; Pat Rondon; Khe Chai Sim (ASRU, 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)

Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. - Dongseong Hwang; Khe Chai Sim; Yu Zhang 033; 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)

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)

Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR. - Zelin Wu; Tsendsuren Munkhdalai; Pat Rondon; Golan Pundak; Khe Chai Sim; Christopher Li (INTERSPEECH, 2023)

Edit Distance based RL for RNNT decoding. - Dongseong Hwang; Changwan Ryu; Khe Chai Sim (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)

Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning. - Liam Collins; Shanshan Wu; Sewoong Oh; Khe Chai Sim (CoRR, 2023)

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)

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)

AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. - Zhouyuan Huo; Dongseong Hwang; Gan Song; Khe Chai Sim; Weiran Wang (INTERSPEECH, 2024)

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 Sainath; et al. (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)

Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers. - Adam Stooke; Rohit Prabhavalkar; Khe Chai Sim; Pedro Moreno Mengibar (NeurIPS, 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)

TransformerFAM: Feedback attention is working memory. - Dongseong Hwang; Weiran Wang; Zhuoyuan Huo; Khe Chai Sim; Pedro Moreno Mengibar (CoRR, 2024)