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Ya-Jun Hu
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2020 – today
- 2024
- [j3]Zhaoci Liu
, Liping Chen
PE-Wav2vec: A Prosody-Enhanced Speech Model for Self-Supervised Prosody Learning in TTS. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4199-4210 (2024) - 2023
- [c14]Zhaoci Liu, Zhen-Hua Ling, Ya-Jun Hu, Jia Pan, Jin-Wei Wang, Yun-Di Wu:
Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations. INTERSPEECH 2023: 7-11 - 2022
- [c13]Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling:
Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models. ICASSP 2022: 6202-6206 - [c12]Yan-Nian Chen, Li-Juan Liu, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling:
Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training. ICASSP 2022: 7007-7011 - [i2]Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling:
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models. CoRR abs/2201.10716 (2022) - 2020
- [c11]Li-Juan Liu, Yan-Nian Chen, Jing-Xuan Zhang, Yuan Jiang, Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai:
Non-Parallel Voice Conversion with Autoregressive Conversion Model and Duration Adjustment. Blizzard Challenge / Voice Conversion Challenge 2020 - [c10]Jing-Xuan Zhang, Li-Juan Liu, Yan-Nian Chen, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling, Li-Rong Dai:
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer. Blizzard Challenge / Voice Conversion Challenge 2020 - [i1]Jing-Xuan Zhang, Li-Juan Liu, Yan-Nian Chen, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling, Li-Rong Dai:
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer. CoRR abs/2009.01475 (2020)
2010 – 2019
- 2019
- [c9]Yuan Jiang, Ya-Jun Hu, Li-Juan Liu, Hong-Chuan Wu, Zhi-Kun Wang, Yang Ai, Zhen-Hua Ling, Li-Rong Dai:
The USTC System for Blizzard Challenge 2019. Blizzard Challenge 2019 - 2018
- [j2]Ya-Jun Hu
Extracting Spectral Features Using Deep Autoencoders With Binary Distributed Hidden Units for Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 26(4): 713-724 (2018) - [c8]Yuan Jiang, Xiao Zhou, Chuang Ding, Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai:
The USTC System for Blizzard Challenge 2018. Blizzard Challenge 2018 - [c7]Yi-Yang Ding, Ya-Jun Hu, Zhen-Hua Ling:
GTDNN-Based Voice Conversion Using DAEs with Binary Distributed Hidden Units. ISCSLP 2018: 1-5 - 2017
- [c6]Ya-Jun Hu, Li-Juan Liu, Chuang Ding, Zhen-Hua Ling, Li-Rong Dai:
The USTC system for blizzard machine learning challenge 2017-ES2. ASRU 2017: 650-656 - [c5]Li-Juan Liu, Chuang Ding, Ya-Jun Hu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Si Wei:
The iFLYTEK system for blizzard machine learning challenge 2017-ES1. ASRU 2017: 657-664 - [c4]Ya-Jun Hu, Chuang Ding, Li-Juan Liu, Zhen-Hua Ling, Li-Rong Dai:
The USTC System for Blizzard Challenge 2017. Blizzard Challenge 2017 - [c3]Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai:
Extracting structural spectral features using what-where auto-encoders for statistical parametric speech synthesis. ICASSP 2017: 4915-4919 - 2016
- [j1]Ya-Jun Hu, Zhen-Hua Ling:
DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis. IEEE Signal Process. Lett. 23(3): 321-325 (2016) - [c2]Xiang Yin, Zhen-Hua Ling, Ya-Jun Hu, Li-Rong Dai:
Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis. ICASSP 2016: 5125-5129 - [c1]Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai:
Deep belief network-based post-filtering for statistical parametric speech synthesis. ICASSP 2016: 5510-5514
Coauthor Index
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