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| 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 | 278 | 2020 |
| Emformer: Efficient memory transformer based acoustic model for low latency streaming speech recognition Y Shi, Y Wang, C Wu, CF Yeh, J Chan, F Zhang, D Le, M Seltzer ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 185 | 2021 |
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| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 77 | 2024 |
| Streaming transformer-based acoustic models using self-attention with augmented memory C Wu, Y Wang, Y Shi, CF Yeh, F Zhang arXiv preprint arXiv:2005.08042, 2020 | 74 | 2020 |
| 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 | 55 | 2021 |
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| 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 | 34 | 2019 |
| Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces F Zhang, Y Wang, X Zhang, C Liu, Y Saraf, G Zweig Interspeech 2020, 2020 | 32 | 2020 |
| Weak-attention suppression for transformer based speech recognition Y Shi, Y Wang, C Wu, C Fuegen, F Zhang, D Le, CF Yeh, ML Seltzer arXiv preprint arXiv:2005.09137, 2020 | 31 | 2020 |
| Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications Y Wang, Y Shi, F Zhang, C Wu, J Chan, CF Yeh, A Xiao ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 28 | 2021 |
| 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 | 27 | 2021 |
| 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 |
| Scaling asr improves zero and few shot learning A Xiao, W Zheng, G Keren, D Le, F Zhang, C Fuegen, O Kalinli, Y Saraf, ... arXiv preprint arXiv:2111.05948, 2021 | 22 | 2021 |
| Accent-robust automatic speech recognition using supervised and unsupervised wav2vec embeddings J Li, V Manohar, P Chitkara, A Tjandra, M Picheny, F Zhang, X Zhang, ... arXiv preprint arXiv:2110.03520, 2021 | 18 | 2021 |
| On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models X Zhang, V Manohar, D Zhang, F Zhang, Y Shi, N Singhal, J Chan, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 16 | 2021 |
| Streaming attention-based models with augmented memory for end-to-end speech recognition CF Yeh, Y Wang, Y Shi, C Wu, F Zhang, J Chan, ML Seltzer 2021 IEEE Spoken Language Technology Workshop (SLT), 8-14, 2021 | 12 | 2021 |
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Yongqiang WangResearch Scientist, GoogleZweryfikowany adres z google.com