| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2971 | 2024 |
| Exploring neural transducers for end-to-end speech recognition E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ... 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 290* | 2017 |
| Introducing meta llama 3: The most capable openly available llm to date M AI https://ai.meta.com/blog/meta-llama-3/, 2024 | 260* | 2024 |
| On the comparison of popular end-to-end models for large scale speech recognition J Li, Y Wu, Y Gaur, C Wang, R Zhao, S Liu arXiv preprint arXiv:2005.14327, 2020 | 160 | 2020 |
| Serialized output training for end-to-end overlapped speech recognition N Kanda, Y Gaur, X Wang, Z Meng, T Yoshioka arXiv preprint arXiv:2003.12687, 2020 | 131 | 2020 |
| Internal language model estimation for domain-adaptive end-to-end speech recognition Z Meng, S Parthasarathy, E Sun, Y Gaur, N Kanda, L Lu, X Chen, R Zhao, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 243-250, 2021 | 117 | 2021 |
| Viola: Unified codec language models for speech recognition, synthesis, and translation T Wang, L Zhou, Z Zhang, Y Wu, S Liu, Y Gaur, Z Chen, J Li, F Wei arXiv preprint arXiv:2305.16107, 2023 | 110 | 2023 |
| On decoder-only architecture for speech-to-text and large language model integration J Wu, Y Gaur, Z Chen, L Zhou, Y Zhu, T Wang, J Li, S Liu, B Ren, L Liu, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 107 | 2023 |
| 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 | 105 | 2024 |
| Joint speaker counting, speech recognition, and speaker identification for overlapped speech of any number of speakers N Kanda, Y Gaur, X Wang, Z Meng, Z Chen, T Zhou, T Yoshioka arXiv preprint arXiv:2006.10930, 2020 | 91 | 2020 |
| Robust speech recognition using generative adversarial networks A Sriram, H Jun, Y Gaur, S Satheesh 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 74 | 2018 |
| The effects of automatic speech recognition quality on human transcription latency Y Gaur, WS Lasecki, F Metze, JP Bigham Proceedings of the 13th International Web for All Conference, 1-8, 2016 | 65 | 2016 |
| Streaming multi-talker ASR with token-level serialized output training N Kanda, J Wu, Y Wu, X Xiao, Z Meng, X Wang, Y Gaur, Z Chen, J Li, ... arXiv preprint arXiv:2202.00842, 2022 | 63 | 2022 |
| Domain adaptation via teacher-student learning for end-to-end speech recognition Z Meng, J Li, Y Gaur, Y Gong 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 59 | 2019 |
| Internal language model training for domain-adaptive end-to-end speech recognition Z Meng, N Kanda, Y Gaur, S Parthasarathy, E Sun, L Lu, X Chen, J Li, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 57 | 2021 |
| Minimum latency training strategies for streaming sequence-to-sequence ASR H Inaguma, Y Gaur, L Lu, J Li, Y Gong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 55 | 2020 |
| End-to-end speaker-attributed ASR with transformer N Kanda, G Ye, Y Gaur, X Wang, Z Meng, Z Chen, T Yoshioka arXiv preprint arXiv:2104.02128, 2021 | 53 | 2021 |
| Investigation of end-to-end speaker-attributed ASR for continuous multi-talker recordings N Kanda, X Chang, Y Gaur, X Wang, Z Meng, Z Chen, T Yoshioka 2021 IEEE Spoken Language Technology Workshop (SLT), 809-816, 2021 | 51 | 2021 |
| A Federated Approach in Training Acoustic Models. D Dimitriadis, RG Ken'ichi Kumatani, R Gmyr, Y Gaur, SE Eskimez Interspeech, 981-985, 2020 | 48 | 2020 |
| Speaker adaptation for attention-based end-to-end speech recognition Z Meng, Y Gaur, J Li, Y Gong arXiv preprint arXiv:1911.03762, 2019 | 47 | 2019 |
Jinyu LiPartner Applied Science Manager, MicrosoftВерификована је имејл адреса на microsoft.com