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Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS. (arXiv:2207.06000v1 [cs.CL])
July 14, 2022, 1:10 a.m. | Yookyung Shin, Younggun Lee, Suhee Jo, Yeongtae Hwang, Taesu Kim
cs.LG updates on arXiv.org arxiv.org
Expressive text-to-speech has shown improved performance in recent years.
However, the style control of synthetic speech is often restricted to discrete
emotion categories and requires training data recorded by the target speaker in
the target style. In many practical situations, users may not have reference
speech recorded in target emotion but still be interested in controlling speech
style just by typing text description of desired emotional style. In this
paper, we propose a text-based interface for emotional style control and …
More from arxiv.org / cs.LG updates on arXiv.org
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