| SUPERB: Speech processing Universal PERformance Benchmark S Yang, PH Chi, YS Chuang, CIJ Lai, K Lakhotia, YY Lin, AT Liu, J Shi, ... Proceedings of the Interspeech, 1194--1198, 2021 | 932 | 2021 |
| Recent developments on ESPnet toolkit boosted by Conformer P Guo, F Boyer, X Chang, T Hayashi, Y Higuchi, H Inaguma, N Kamo, C Li, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 299 | 2021 |
| Audiogpt: Understanding and generating speech, music, sound, and talking head R Huang, M Li, D Yang, J Shi, X Chang, Z Ye, Y Wu, Z Hong, J Huang, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23802 …, 2024 | 155 | 2024 |
| Findings of the IWSLT 2022 Evaluation Campaign. A Anastasopoulos, L Barrault, L Bentivogli, MZ Boito, O Bojar, R Cattoni, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 109 | 2022 |
| SUPERB-SG: Enhanced speech processing universal performance benchmark for semantic and generative capabilities HS Tsai, HJ Chang, WC Huang, Z Huang, K Lakhotia, S Yang, S Dong, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 95 | 2022 |
| UniAudio: Towards Universal Audio Generation with Large Language Models D Yang, J Tian, X Tan, R Huang, S Liu, H Guo, X Chang, J Shi, J Bian, ... Forty-first International Conference on Machine Learning, 2024 | 86* | 2024 |
| Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning W Hou, Y Dong, B Zhuang, L Yang, J Shi, T Shinozaki Proceedings of the Interspeech, 1037-1041, 2020 | 81 | 2020 |
| Context-aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training J Shi, N Huo, Q Jin Proceedings of the Interspeech, 3057-3061, 2020 | 63 | 2020 |
| ESPnet2-TTS: Extending the edge of TTS research T Hayashi, R Yamamoto, T Yoshimura, P Wu, J Shi, T Saeki, Y Ju, ... arXiv preprint arXiv:2110.07840, 2021 | 62 | 2021 |
| ML-SUPERB: Multilingual Speech Universal PERformance Benchmark J Shi, D Berrebbi, W Chen, HL Chung, EP Hu, WP Huang, X Chang, ... Proceedings of the Interspeech, 884--888, 2023 | 54 | 2023 |
| The singing voice conversion challenge 2023 WC Huang, LP Violeta, S Liu, J Shi, T Toda 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 51 | 2023 |
| Findings of the iwslt 2023 evaluation campaign M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ... Association for Computational Linguistics, 2023 | 48 | 2023 |
| Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolox\'ochitl Mixtec J Shi, JD Amith, RC García, EG Sierra, K Duh, S Watanabe Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 40 | 2021 |
| Improving massively multilingual ASR with auxiliary CTC objectives W Chen, B Yan, J Shi, Y Peng, S Maiti, S Watanabe ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 39 | 2023 |
| Reproducing whisper-style training using an open-source toolkit and publicly available data Y Peng, J Tian, B Yan, D Berrebbi, X Chang, X Li, J Shi, S Arora, W Chen, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 34 | 2023 |
| SUPERB@ SLT 2022: Challenge on generalization and efficiency of self-supervised speech representation learning T Feng, A Dong, CF Yeh, S Yang, TQ Lin, J Shi, KW Chang, Z Huang, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 1096-1103, 2023 | 34 | 2023 |
| Exploring speech recognition, translation, and understanding with discrete speech units: A comparative study X Chang, B Yan, K Choi, JW Jung, Y Lu, S Maiti, R Sharma, J Shi, J Tian, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 31 | 2024 |
| Make-a-voice: Revisiting voice large language models as scalable multilingual and multitask learners R Huang, C Zhang, Y Wang, D Yang, J Tian, Z Ye, L Liu, Z Wang, Z Jiang, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 29* | 2024 |
| Sequence-to-sequence singing voice synthesis with perceptual entropy loss J Shi, S Guo, N Huo, Y Zhang, Q Jin ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 29 | 2021 |
| Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning benchmark for speech C Huang, KH Lu, SH Wang, CY Hsiao, CY Kuan, H Wu, S Arora, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 28 | 2024 |
Shinji WatanabeCarnegie Mellon University在 cmu.edu 的電子郵件地址已通過驗證
