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From senones to chenones: Tied context-dependent graphemes for hybrid speech recognition D Le, X Zhang, W Zheng, C Fügen, G Zweig, ML Seltzer 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 67 | 2019 |
Evaluating user perception of speech recognition system quality with semantic distance metric S Kim, D Le, W Zheng, T Singh, A Arora, X Zhai, C Fuegen, O Kalinli, ... arXiv preprint arXiv:2110.05376, 2021 | 26 | 2021 |
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 |
Interactive text-to-speech via semi-supervised style transfer learning Y Gao, W Zheng, Z Yang, T Kohler, C Fuegen, Q He arXiv preprint arXiv:2002.06758 41, 2020 | 14 | 2020 |
Federated domain adaptation for asr with full self-supervision J Jia, J Mahadeokar, W Zheng, Y Shangguan, O Kalinli, F Seide arXiv preprint arXiv:2203.15966, 2022 | 13 | 2022 |
Stylizing text-to-speech (TTS) voice response for assistant systems Y Gao, W Zheng, Z Yang, TW Koehler, C Fuegen, Q He US Patent 11,562,744, 2023 | 8 | 2023 |
Interactive text-to-speech system via joint style analysis Y Gao, W Zheng, Z Yang, T Kohler, C Fuegen, Q He arXiv preprint arXiv:2002.06758, 2020 | 7 | 2020 |
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Stylizing Text-to-Speech (TTS) Voice Response for Assistant Systems Y Gao, W Zheng, Z Yang, TW Koehler, C Fuegen, Q He US Patent App. 18/069,884, 2023 | 1 | 2023 |