Deep belief network-based post-filtering for statistical parametric speech synthesis. - Ya-Jun Hu; Zhen-Hua Ling; Li-Rong Dai 001 (ICASSP, 2016)

Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis. - Xiang Yin 002; Zhen-Hua Ling; Ya-Jun Hu; Li-Rong Dai 001 (ICASSP, 2016)

DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis. - Ya-Jun Hu; Zhen-Hua Ling (IEEE Signal Process. Lett., 2016)

The USTC system for blizzard machine learning challenge 2017-ES2. - Ya-Jun Hu; Li-Juan Liu; Chuang Ding; Zhen-Hua Ling; Li-Rong Dai 001 (ASRU, 2017)

The iFLYTEK system for blizzard machine learning challenge 2017-ES1. - Li-Juan Liu; Chuang Ding; Ya-Jun Hu; Zhen-Hua Ling; Yuan Jiang 006; Ming Zhou; Si Wei (ASRU, 2017)

The USTC System for Blizzard Challenge 2017. - Ya-Jun Hu; Chuang Ding; Li-Juan Liu; Zhen-Hua Ling; Li-Rong Dai 001 (Blizzard Challenge, 2017)

Extracting structural spectral features using what-where auto-encoders for statistical parametric speech synthesis. - Ya-Jun Hu; Zhen-Hua Ling; Li-Rong Dai 001 (ICASSP, 2017)

The USTC System for Blizzard Challenge 2018. - Yuan Jiang 006; Xiao Zhou; Chuang Ding; Ya-Jun Hu; Zhen-Hua Ling; Li-Rong Dai 001 (Blizzard Challenge, 2018)

GTDNN-Based Voice Conversion Using DAEs with Binary Distributed Hidden Units. - Yi-Yang Ding; Ya-Jun Hu; Zhen-Hua Ling (ISCSLP, 2018)

Extracting Spectral Features Using Deep Autoencoders With Binary Distributed Hidden Units for Statistical Parametric Speech Synthesis. - Ya-Jun Hu; Zhen-Hua Ling (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

The USTC System for Blizzard Challenge 2019. - Yuan Jiang 006; Ya-Jun Hu; Li-Juan Liu; Hong-Chuan Wu; Zhi-Kun Wang; Yang Ai; Zhen-Hua Ling; Li-Rong Dai 001 (Blizzard Challenge, 2019)

Non-Parallel Voice Conversion with Autoregressive Conversion Model and Duration Adjustment. - Li-Juan Liu; Yan-Nian Chen; Jing-Xuan Zhang; Yuan Jiang 006; Ya-Jun Hu; Zhen-Hua Ling; Li-Rong Dai 001 (Blizzard Challenge / Voice Conversion Challenge, 2020)

Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer. - Jing-Xuan Zhang; Li-Juan Liu; Yan-Nian Chen; Ya-Jun Hu; Yuan Jiang 006; Zhen-Hua Ling; Li-Rong Dai 001 (Blizzard Challenge / Voice Conversion Challenge, 2020)

Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training. - Yan-Nian Chen; Li-Juan Liu; Ya-Jun Hu; Yuan Jiang 006; Zhen-Hua Ling (ICASSP, 2022)

Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models. - Lu Dong 005; Zhiqiang Guo; Chao-Hong Tan; Ya-Jun Hu; Yuan Jiang 006; Zhen-Hua Ling (ICASSP, 2022)

Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations. - Zhaoci Liu; Zhen-Hua Ling; Ya-Jun Hu; Jia Pan; Jin-Wei Wang; Yun-Di Wu (INTERSPEECH, 2023)

Language-Independent Prosody-Enhanced Speech Representations For Multilingual Speech Synthesis. - Chang Liu; Zhen-Hua Ling; Ya-Jun Hu (SLT, 2024)

PE-Wav2vec: A Prosody-Enhanced Speech Model for Self-Supervised Prosody Learning in TTS. - Zhaoci Liu; Liping Chen; Ya-Jun Hu; Zhen-Hua Ling; Jia Pan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Self-supervised Prosody Learning at Phoneme-level with Momentum Contrast for Speech Synthesis. - Zhaoci Liu; Ya-Jun Hu; Liping Chen; Zhen-Hua Ling (ICASSP, 2025)

Anchored Monotonic Alignment and Representation Substitution for Rare Spontaneous Behaviors in Spontaneous Speech Synthesis. - Ning-Qian Wu; Ya-Jun Hu; Liping Chen; Zhen-Hua Ling (ICASSP, 2025)