2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.AS2025
Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis
Zhen Ye, Xinfa Zhu, Chi-Min Chan +17
Recent advances in text-based large language models (LLMs), particularly in the GPT series and the o1 model, have demonstrated the effectiveness of scaling both training-time and i…
cs.SD2023
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…
cs.SD2023★ 2 cited
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…