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20222026
most citedUniversal Score-based Speech Enhancement with High Content Preservation

2 citations · 3 across the 14 of their papers we have counts for

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eess.AS2023★ 1 cited

PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-to-Speech Using Natural Language Descriptions

Reo Shimizu, Ryuichi Yamamoto, Masaya Kawamura +4

We propose PromptTTS++, a prompt-based text-to-speech (TTS) synthesis system that allows control over speaker identity using natural language descriptions. To control speaker ident…