Yuan Jiang

Affiliations:
  • iFLYTEK Co., Ltd., Hefei, China
  • University of Science and Technology of China, National Engineering Laboratory for Speech and Language Information Processing, Hefei, China (former)


According to our database1, Yuan Jiang authored at least 13 papers between 2014 and 2022.

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Bibliography

2022
Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training.
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.
CoRR, 2020

Adversarial Post-Processing of Voice Conversion against Spoofing Detection.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Sequence-to-Sequence Acoustic Modeling for Voice Conversion.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

The ASVspoof 2019 database.
CoRR, 2019

Improving Sequence-to-sequence Voice Conversion by Adding Text-supervision.
Proceedings of the IEEE International Conference on Acoustics, 2019

End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision.
CoRR, 2018

WaveNet Vocoder with Limited Training Data for Voice Conversion.
Proceedings of the Interspeech 2018, 2018

2017
The iFLYTEK system for blizzard machine learning challenge 2017-ES1.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F<sub>0</sub> Conversion.
Proceedings of the Interspeech 2016, 2016

2014
HMM-based unit selection speech synthesis using log likelihood ratios derived from perceptual data.
Speech Commun., 2014


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