Khe Chai Sim

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 79

Top Venues

Publications

Tsendsuren Munkhdalai, Youzheng Chen, Khe Chai Sim, Fadi Biadsy, Tara N. Sainath, Pedro Moreno Mengibar
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models. CoRR (2024)
Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar
Massive End-to-end Speech Recognition Models with Time Reduction. NAACL-HLT (2024)
Dongseong Hwang, Weiran Wang, Zhuoyuan Huo, Khe Chai Sim, Pedro Moreno Mengibar
TransformerFAM: Feedback attention is working memory. CoRR (2024)
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, Françoise Beaufays, Pedro Moreno Mengibar
Improving Speech Recognition for African American English with Audio Classification. ICASSP (2024)
Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath
A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. ICASSP (2024)
Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman
Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. ICASSP (2023)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. ICASSP (2023)
Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Zhong Meng, CJ Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar
Massive End-to-end Models for Short Search Queries. CoRR (2023)
Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman
Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. ICASSP (2023)
Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. INTERSPEECH (2023)
Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning. CoRR (2023)
Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
Efficient Domain Adaptation for Speech Foundation Models. CoRR (2023)
Dongseong Hwang, Changwan Ryu, Khe Chai Sim
Edit Distance based RL for RNNT decoding. CoRR (2023)
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, Pedro Moreno Mengibar
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR (2023)
Zelin Wu, Tsendsuren Munkhdalai, Pat Rondon, Golan Pundak, Khe Chai Sim, Christopher Li
Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR. INTERSPEECH (2023)
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
Contextual Spelling Correction with Large Language Models. ASRU (2023)
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, Françoise Beaufays, Pedro Moreno Mengibar
Improving Speech Recognition for African American English With Audio Classification. CoRR (2023)
Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR. CoRR (2022)
Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman
Pseudo Label Is Better Than Human Label. CoRR (2022)
Golan Pundak, Tsendsuren Munkhdalai, Khe Chai Sim
On-the-fly ASR Corrections with Audio Exemplars. INTERSPEECH (2022)
Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman
Pseudo Label Is Better Than Human Label. INTERSPEECH (2022)
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
UserLibri: A Dataset for ASR Personalization Using Only Text. INTERSPEECH (2022)
Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim
Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning. CoRR (2022)
Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. ICASSP (2022)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP (2022)
Adam Stooke, Khe Chai Sim, Mason Chua, Tsendsuren Munkhdalai, Trevor Strohman
Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. SLT (2022)
Tsendsuren Munkhdalai, Zelin Wu, Golan Pundak, Khe Chai Sim, Jiayang Li, Pat Rondon, Tara N. Sainath
NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. SLT (2022)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. ICASSP (2022)
Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. INTERSPEECH (2022)
David Qiu, Tsendsuren Munkhdalai, Yanzhang He, Khe Chai Sim
Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. SLT (2022)
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
UserLibri: A Dataset for ASR Personalization Using Only Text. CoRR (2022)
Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion. CoRR (2022)
Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning. CoRR (2021)
Ananya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim
A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. Interspeech (2021)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR (2021)
Katrin Tomanek, Françoise Beaufays, Julie Cattiau, Angad Chandorkar, Khe Chai Sim
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech. CoRR (2021)
Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. CoRR (2021)
Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. CoRR (2021)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. CoRR (2021)
Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Tsendsuren Munkhdalai, Françoise Beaufays
Robust Continuous On-Device Personalization for Automatic Speech Recognition. Interspeech (2021)
Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta
Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. ICASSP (2020)
Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network. CoRR (2020)
Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein
Streaming End-to-end Speech Recognition for Mobile Devices. ICASSP (2019)
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
Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. ASRU (2019)
Khe Chai Sim, Petr Zadrazil, Françoise Beaufays
An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models. INTERSPEECH (2019)
Jahn Heymann, Khe Chai Sim, Bo Li
Improving CTC Using Stimulated Learning for Sequence Modeling. ICASSP (2019)
Khe Chai Sim, Petr Zadrazil, Françoise Beaufays
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models. CoRR (2019)
Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, Giovanni Motta, Lillian Zhou
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. CoRR (2019)
Chunyang Wu, Mark J. F. Gales, Anton Ragni, Penny Karanasou, Khe Chai Sim
Improving Interpretability and Regularization in Deep Learning. IEEE ACM Trans. Audio Speech Lang. Process. 26 (2) (2018)
Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani
Toward Domain-Invariant Speech Recognition via Large Scale Training. SLT (2018)
Khe Chai Sim, Arun Narayanan, Ananya Misra, Anshuman Tripathi, Golan Pundak, Tara N. Sainath, Parisa Haghani, Bo Li, Michiel Bacchiani
Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. INTERSPEECH (2018)
Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani
Toward domain-invariant speech recognition via large scale training. CoRR (2018)
Lahiru Samarakoon, Brian Mak, Khe Chai Sim
learning Effective Factorized Hidden Layer Bases Using Student-Teacher Training for LSTM Acoustic Model Adaptation. ICASSP (2018)
Bo Li, Tara N. Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yanghui Wu, Kanishka Rao
Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model. ICASSP (2018)
Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein
Streaming End-to-end Speech Recognition For Mobile Devices. CoRR (2018)
Skanda Koppula, Khe Chai Sim, Kean K. Chin
Understanding Recurrent Neural State Using Memory Signatures. CoRR (2018)
Tom Bagby, Kanishka Rao, Khe Chai Sim
Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow. SLT (2018)
Skanda Koppula, Khe Chai Sim, Kean K. Chin
Understanding Recurrent Neural State Using Memory Signatures. ICASSP (2018)
Khe Chai Sim, Arun Narayanan
An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication. INTERSPEECH (2017)
Lahiru Samarakoon, Khe Chai Sim, Brian Mak
An investigation into learning effective speaker subspaces for robust unsupervised DNN adaptation. ICASSP (2017)
Bo Li, 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, Kevin W. Wilson, Ehsan Variani, Chanwoo Kim, Olivier Siohan, Mitchel Weintraub, Erik McDermott, Richard Rose, Matt Shannon
Acoustic Modeling for Google Home. INTERSPEECH (2017)
Bo Li, Tara N. Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yonghui Wu, Kanishka Rao
Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model. CoRR (2017)
Khe Chai Sim, Arun Narayanan, Tom Bagby, Tara N. Sainath, Michiel Bacchiani
Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. ASRU (2017)
Lahiru Samarakoon, Brian Mak, Khe Chai Sim
Learning Factorized Transforms for Unsupervised Adaptation of LSTM-RNN Acoustic Models. INTERSPEECH (2017)
Lahiru Samarakoon, Khe Chai Sim
On combining i-vectors and discriminative adaptation methods for unsupervised speaker normalization in DNN acoustic models. ICASSP (2016)
Souvik Kundu, Khe Chai Sim, Mark J. F. Gales
Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech Recognition. INTERSPEECH (2016)
Tian Tan, Yanmin Qian, Dong Yu, Souvik Kundu, Liang Lu, Khe Chai Sim, Xiong Xiao, Yu Zhang
Speaker-aware training of LSTM-RNNS for acoustic modelling. ICASSP (2016)
Khe Chai Sim
Sensitivity-Characterised Activity Neurogram (SCAN) for Visualising and Understanding the Inner Workings of Deep Neural Network. IEICE Trans. Inf. Syst. (10) (2016)
Gautam Mantena, Khe Chai Sim
Entropy-based pruning of hidden units to reduce DNN parameters. SLT (2016)
Chunyang Wu, Penny Karanasou, Mark J. F. Gales, Khe Chai Sim
Stimulated Deep Neural Network for Speech Recognition. INTERSPEECH (2016)
Shawn Tan, Khe Chai Sim
Learning utterance-level normalisation using Variational Autoencoders for robust automatic speech recognition. SLT (2016)
Lahiru Samarakoon, Khe Chai Sim
Factorized Hidden Layer Adaptation for Deep Neural Network Based Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 24 (12) (2016)
Animesh Prasad, Khe Chai Sim
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition. INTERSPEECH (2016)
Souvik Kundu, Gautam Mantena, Yanmin Qian, Tian Tan, Marc Delcroix, Khe Chai Sim
Joint acoustic factor learning for robust deep neural network based automatic speech recognition. ICASSP (2016)
Lahiru Samarakoon, Khe Chai Sim
Low-rank bases for factorized hidden layer adaptation of DNN acoustic models. SLT (2016)
Shawn Tan, Khe Chai Sim
Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition. ICASSP (2016)
Lahiru Samarakoon, Khe Chai Sim
Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models. INTERSPEECH (2016)
Lahiru Samarakoon, Khe Chai Sim
Multi-Attribute Factorized Hidden Layer Adaptation for DNN Acoustic Models. INTERSPEECH (2016)
Khe Chai Sim
On constructing and analysing an interpretable brain model for the DNN based on hidden activity patterns. ASRU (2015)
Shawn Tan, Khe Chai Sim, Mark J. F. Gales
Improving the interpretability of deep neural networks with stimulated learning. ASRU (2015)
Lahiru Samarakoon, Khe Chai Sim
Learning factorized feature transforms for speaker normalization. ASRU (2015)
Hengguan Huang, Khe Chai Sim
An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition. ICASSP (2015)
Bo Li, Khe Chai Sim
A Spectral Masking Approach to Noise-Robust Speech Recognition Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 22 (8) (2014)
Bo Li, Khe Chai Sim
An ideal hidden-activation mask for deep neural networks based noise-robust speech recognition. ICASSP (2014)
Guangsen Wang, Khe Chai Sim
Regression-Based Context-Dependent Modeling of Deep Neural Networks for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22 (11) (2014)
Xuancong Wang, Khe Chai Sim, Hwee Tou Ng
Combining Punctuation and Disfluency Prediction: An Empirical Study. EMNLP (2014)
Bo Li, Khe Chai Sim
Modeling long temporal contexts for robust DNN-based speech recognition. INTERSPEECH (2014)
Suliang Bu, Yanmin Qian, Khe Chai Sim, Yongbin You, Kai Yu
Second order vector taylor series based robust speech recognition. ICASSP (2014)
Xuancong Wang, Hwee Tou Ng, Khe Chai Sim
A Beam-Search Decoder for Disfluency Detection. COLING (2014)
Khe Chai Sim
A multimodal stroke-based predictive input for efficient Chinese text entry on mobile devices. SLT (2014)
Shilin Liu, Khe Chai Sim
On combining DNN and GMM with unsupervised speaker adaptation for robust automatic speech recognition. ICASSP (2014)
Shilin Liu, Khe Chai Sim
Joint adaptation and adaptive training of TVWR for robust automatic speech recognition. INTERSPEECH (2014)
Shilin Liu, Khe Chai Sim
Temporally Varying Weight Regression: A Semi-Parametric Trajectory Model for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22 (1) (2014)
Guangsen Wang, Khe Chai Sim
Refinements of regression-based context-dependent modelling of deep neural networks for automatic speech recognition. ICASSP (2014)
Khe Chai Sim
Approximated Parallel Model Combination for efficient noise-robust speech recognition. ICASSP (2013)
Guangsen Wang, Khe Chai Sim
Context-dependent modelling of deep neural network using logistic regression. ASRU (2013)
Xiaoxuan Wang, Khe Chai Sim
Integrating conditional random fields and joint multi-gram model with syllabic features for grapheme-to-phone conversion. INTERSPEECH (2013)
Guangsen Wang, Khe Chai Sim
Context dependent acoustic keyword spotting using deep neural network. APSIPA (2013)
Shilin Liu, Khe Chai Sim
Multi-stream temporally varying weight regression for cross-lingual speech recognition. ASRU (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Khe Chai Sim