| Voice conversion using deep neural networks with layer-wise generative training LH Chen, ZH Ling, LJ Liu, LR Dai IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (12 …, 2014 | 273 | 2014 |
| The Voice Conversion Challenge 2016. T Toda, LH Chen, D Saito, F Villavicencio, M Wester, Z Wu, J Yamagishi Interspeech 2016, 1632-1636, 2016 | 235 | 2016 |
| Joint spectral distribution modeling using restricted Boltzmann machines for voice conversion LH Chen, ZH Ling, Y Song, LR Dai Proc. Interspeech 2013, 3052-3056, 2013 | 78 | 2013 |
| A deep generative architecture for postfiltering in statistical parametric speech synthesis LH Chen, T Raitio, C Valentini-Botinhao, ZH Ling, J Yamagishi IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015 | 60 | 2015 |
| DNN-based stochastic postfilter for HMM-based speech synthesis LH Chen, T Raitio, C Valentini-Botinhao, J Yamagishi, ZH Ling Interspeech 2014, 1954-1958, 2014 | 49 | 2014 |
| Featherwave: An efficient high-fidelity neural vocoder with multi-band linear prediction Q Tian, Z Zhang, H Lu, LH Chen, S Liu arXiv preprint arXiv:2005.05551, 2020 | 34 | 2020 |
| TFGAN: Time and frequency domain based generative adversarial network for high-fidelity speech synthesis Q Tian, Y Chen, Z Zhang, H Lu, L Chen, L Xie, S Liu arXiv preprint arXiv:2011.12206, 2020 | 33 | 2020 |
| Adadurian: Few-shot adaptation for neural text-to-speech with durian Z Zhang, Q Tian, H Lu, LH Chen, S Liu arXiv preprint arXiv:2005.05642, 2020 | 30 | 2020 |
| Preattentive extraction of abstract auditory rules in speech sound stream: a mismatch negativity study using lexical tones XD Wang, F Gu, K He, LH Chen, L Chen PLoS One 7 (1), e30027, 2012 | 30 | 2012 |
| The ustc system for blizzard challenge 2011 LH Chen, CY Yang, ZH Ling, Y Jiang, LR Dai, Y Hu, RH Wang Blizzard challenge workshop, 2011 | 28 | 2011 |
| Using bidirectional associative memories for joint spectral envelope modeling in voice conversion LJ Liu, LH Chen, ZH Ling, LR Dai 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 19 | 2014 |
| Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2009 K Oura, YJ Wu, K Tokuda Blizzard Challenge 2009 Workshop, 2009 | 18 | 2009 |
| The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F0 Conversion. LH Chen, LJ Liu, ZH Ling, Y Jiang, LR Dai Interspeech, 1642-1646, 2016 | 14 | 2016 |
| Spectral conversion using deep neural networks trained with multi-source speakers LJ Liu, LH Chen, ZH Ling, LR Dai 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 14 | 2015 |
| The USTC system for blizzard challenge 2012 ZH Ling, XJ Xia, Y Song, CY Yang, LH Chen, LR Dai Blizzard Challenge Workshop, 2012 | 14 | 2012 |
| Voice conversion using generative trained deep neural networks with multiple frame spectral envelopes. LH Chen, ZH Ling, LR Dai INTERSPEECH, 2313-2317, 2014 | 13 | 2014 |
| Feathertts: Robust and efficient attention based neural tts Q Tian, Z Zhang, C Liu, H Lu, L Chen, B Wei, P He, S Liu arXiv preprint arXiv:2011.00935, 2020 | 8 | 2020 |
| Improving F0 prediction using bidirectional associative memories and syllable-level F0 features for HMM-based Mandarin speech synthesis L Gao, ZH Ling, LH Chen, LR Dai The 9th International Symposium on Chinese Spoken Language Processing, 275-279, 2014 | 8 | 2014 |
| The tencent speech synthesis system for blizzard challenge 2019 Q Tian, J Chen, S Liu Proc. Blizzard Challenge Workshop, 2019 | 7 | 2019 |
| GMM-based voice conversion with explicit modelling on feature transform LH Chen, ZH Ling, W Guo, LR Dai 2010 7th International Symposium on Chinese Spoken Language Processing, 364-368, 2010 | 7 | 2010 |
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