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20182022
most citedExploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation

4 citations · 7 across the 3 of their papers we have counts for

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2 papers · 1 filter

eess.AS2021

Speech BERT Embedding For Improving Prosody in Neural TTS

Liping Chen, Yan Deng, Xi Wang +2

This paper presents a speech BERT model to extract embedded prosody information in speech segments for improving the prosody of synthesized speech in neural text-to-speech (TTS). A…

eess.AS2018

Modeling Multi-speaker Latent Space to Improve Neural TTS: Quick Enrolling New Speaker and Enhancing Premium Voice

Yan Deng, Lei He, Frank Soong

Neural TTS has shown it can generate high quality synthesized speech. In this paper, we investigate the multi-speaker latent space to improve neural TTS for adapting the system to…