2 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Xinsheng Wang, Mingqi Jiang, Ziyang Ma +22
Recent advancements in large language models (LLMs) have driven significant progress in zero-shot text-to-speech (TTS) synthesis. However, existing foundation models rely on multi-…
CoDiff-VC: A Codec-Assisted Diffusion Model for Zero-shot Voice Conversion
Yuke Li, Xinfa Zhu, Hanzhao Li +6
Zero-shot voice conversion (VC) aims to convert the original speaker's timbre to any target speaker while keeping the linguistic content. Current mainstream zero-shot voice convers…
SponTTS: modeling and transferring spontaneous style for TTS
Hanzhao Li, Xinfa Zhu, Liumeng Xue +3
Spontaneous speaking style exhibits notable differences from other speaking styles due to various spontaneous phenomena (e.g., filled pauses, prolongation) and substantial prosody…
PromptSpeaker: Speaker Generation Based on Text Descriptions
Yongmao Zhang, Guanghou Liu, Yi Lei +4
Recently, text-guided content generation has received extensive attention. In this work, we explore the possibility of text description-based speaker generation, i.e., using text p…
PromptStyle: Controllable Style Transfer for Text-to-Speech with Natural Language Descriptions
Guanghou Liu, Yongmao Zhang, Yi Lei +4
Style transfer TTS has shown impressive performance in recent years. However, style control is often restricted to systems built on expressive speech recordings with discrete style…