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20182022
most citedFeature reinforcement with word embedding and parsing information in neural TTS

13 citations · 46 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.SD20222 cited

Joint Pre-Training with Speech and Bilingual Text for Direct Speech to Speech Translation

Kun Wei, Long Zhou, Ziqiang Zhang +5

Direct speech-to-speech translation (S2ST) is an attractive research topic with many advantages compared to cascaded S2ST. However, direct S2ST suffers from the data scarcity probl…

cs.SD20226 cited

Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training

J. Yang, Lei He

In cross-lingual speech synthesis, the speech in various languages can be synthesized for a monoglot speaker. Normally, only the data of monoglot speakers are available for model t…

cs.SD20212 cited

Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis

Shifeng Pan, Lei He

Cross-speaker style transfer is crucial to the applications of multi-style and expressive speech synthesis at scale. It does not require the target speakers to be experts in expres…

cs.SD2020

Conversational End-to-End TTS for Voice Agent

Haohan Guo, Shaofei Zhang, Frank K. Soong +2

End-to-end neural TTS has achieved superior performance on reading style speech synthesis. However, it's still a challenge to build a high-quality conversational TTS due to the lim…

cs.SD201913 cited

Feature reinforcement with word embedding and parsing information in neural TTS

Huaiping Ming, Lei He, Haohan Guo +1

In this paper, we propose a feature reinforcement method under the sequence-to-sequence neural text-to-speech (TTS) synthesis framework. The proposed method utilizes the multiple i…