Transformer-based acoustic modeling for hybrid speech recognition Y Wang, A Mohamed, D Le, C Liu, A Xiao, J Mahadeokar, H Huang, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 263 | 2020 |
A keyword search system using open source software J Trmal, G Chen, D Povey, S Khudanpur, P Ghahremani, X Zhang, ... 2014 IEEE Spoken Language Technology Workshop (SLT), 530-535, 2014 | 52 | 2014 |
Improving RNN transducer based ASR with auxiliary tasks C Liu, F Zhang, D Le, S Kim, Y Saraf, G Zweig 2021 IEEE Spoken Language Technology Workshop (SLT), 172-179, 2021 | 50 | 2021 |
Deja-vu: Double feature presentation and iterated loss in deep transformer networks A Tjandra, C Liu, F Zhang, X Zhang, Y Wang, G Synnaeve, S Nakamura, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 48 | 2020 |
ASR for under-resourced languages from probabilistic transcription MA Hasegawa-Johnson, P Jyothi, D McCloy, M Mirbagheri, GM Di Liberto, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 50-63, 2016 | 41 | 2016 |
Dual application of speech enhancement for automatic speech recognition A Pandey, C Liu, Y Wang, Y Saraf 2021 IEEE Spoken Language Technology Workshop (SLT), 223-228, 2021 | 38 | 2021 |
Deep contextual language understanding in spoken dialogue systems. C Liu, P Xu, R Sarikaya INTERSPEECH, 120-124, 2015 | 36 | 2015 |
Towards measuring fairness in speech recognition: Casual conversations dataset transcriptions C Liu, M Picheny, L Sarı, P Chitkara, A Xiao, X Zhang, M Chou, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 35 | 2022 |
Adapting ASR for under-resourced languages using mismatched transcriptions C Liu, P Jyothi, H Tang, V Manohar, R Sloan, T Kekona, ... 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 31 | 2016 |
Faster, simpler and more accurate hybrid asr systems using wordpieces F Zhang, Y Wang, X Zhang, C Liu, Y Saraf, G Zweig arXiv preprint arXiv:2005.09150, 2020 | 30 | 2020 |
Multilingual graphemic hybrid ASR with massive data augmentation C Liu, Q Zhang, X Zhang, K Singh, Y Saraf, G Zweig arXiv preprint arXiv:1909.06522, 2019 | 30 | 2019 |
Contextualizing ASR lattice rescoring with hybrid pointer network language model DR Liu, C Liu, F Zhang, G Synnaeve, Y Saraf, G Zweig arXiv preprint arXiv:2005.07394, 2020 | 25 | 2020 |
Conformer-based self-supervised learning for non-speech audio tasks S Srivastava, Y Wang, A Tjandra, A Kumar, C Liu, K Singh, Y Saraf ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 23 | 2022 |
Benchmarking lf-mmi, ctc and rnn-t criteria for streaming asr X Zhang, F Zhang, C Liu, K Schubert, J Chan, P Prakash, J Liu, CF Yeh, ... 2021 IEEE spoken language technology workshop (SLT), 46-51, 2021 | 23 | 2021 |
Topic Identification for Speech without ASR C Liu, J Trmal, M Wiesner, C Harman, S Khudanpur INTERSPEECH, 2017 | 22 | 2017 |
Low-resource open vocabulary keyword search using point process models. C Liu, A Jansen, G Chen, K Kintzley, J Trmal, S Khudanpur Interspeech, 2789-2793, 2014 | 18 | 2014 |
Automatic speech recognition and topic identification for almost-zero-resource languages M Wiesner, C Liu, L Ondel, C Harman, V Manohar, J Trmal, Z Huang, ... arXiv preprint arXiv:1802.08731, 2018 | 17 | 2018 |
An empirical evaluation of zero resource acoustic unit discovery C Liu, J Yang, M Sun, S Kesiraju, A Rott, L Ondel, P Ghahremani, ... IEEE ICASSP, 2017 | 15 | 2017 |
Streaming transformer transducer based speech recognition using non-causal convolution Y Shi, C Wu, D Wang, A Xiao, J Mahadeokar, X Zhang, C Liu, K Li, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
Learning asr pathways: A sparse multilingual asr model M Yang, A Tjandra, C Liu, D Zhang, D Le, O Kalinli ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 12 | 2023 |