Ya-Jun Hu

According to our database, Ya-Jun Hu authored at least 11 papers between 2016 and 2022.

Collaborative distances:

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

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

CoRR, 2020

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

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 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