Ya-Jun Hu

According to our database, Ya-Jun Hu authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations.

Zhaoci Liu, Zhen-Hua Ling, Ya-Jun Hu, Jia Pan, Jin-Wei Wang, Yun-Di Wu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models.

Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training.

Yan-Nian Chen, Li-Juan Liu, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling

Proceedings of the IEEE International Conference on Acoustics, 2022

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, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020, 2020

Non-Parallel Voice Conversion with Autoregressive Conversion Model and Duration Adjustment.

Li-Juan Liu, Yan-Nian Chen, Jing-Xuan Zhang, Yuan Jiang, Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020, 2020

2019

The USTC System for Blizzard Challenge 2019.

Yuan Jiang, Ya-Jun Hu, Li-Juan Liu, Hong-Chuan Wu, Zhi-Kun Wang, Yang Ai, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the Blizzard Challenge 2019, Vienna, Austria, September 23, 2019, 2019

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

GTDNN-Based Voice Conversion Using DAEs with Binary Distributed Hidden Units.

Yi-Yang Ding, Ya-Jun Hu, Zhen-Hua Ling

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

The USTC System for Blizzard Challenge 2018.

Yuan Jiang, Xiao Zhou, Chuang Ding, Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the Blizzard Challenge 2018, Hyderabad, India, September 8, 2018, 2018

2017

Extracting structural spectral features using what-where auto-encoders for statistical parametric speech synthesis.

Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

The USTC System for Blizzard Challenge 2017.

Ya-Jun Hu, Chuang Ding, Li-Juan Liu, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the Blizzard Challenge 2017, Stockholm, Sweden, August 25, 2017, 2017

The iFLYTEK system for blizzard machine learning challenge 2017-ES1.

Li-Juan Liu, Chuang Ding, Ya-Jun Hu, Zhen-Hua Ling, Yuan Jiang, Ming Zhou, Si Wei

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

The USTC system for blizzard machine learning challenge 2017-ES2.

Ya-Jun Hu, Li-Juan Liu, Chuang Ding, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis.

Ya-Jun Hu, Zhen-Hua Ling

IEEE Signal Process. Lett., 2016

Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis.

Xiang Yin, Zhen-Hua Ling, Ya-Jun Hu, Li-Rong Dai

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deep belief network-based post-filtering for statistical parametric speech synthesis.

Ya-Jun Hu, Zhen-Hua Ling, Li-Rong Dai

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016