6 citations · 6 across the 4 of their papers we have counts for
5 papers
Dynamic Prosody Prediction in LLM-based TTS for Improving Speaker Similarity
Zhenwei Mou, Liping Chen, Yajun Hu +3
Personalized text-to-speech (TTS) aims to clone the target speaker in the synthesized speech, imitating both the voice and speaking style. Current large language model (LLM)-based…
Group Relative Policy Optimization for Text-to-Speech with Large Language Models
Chang Liu, Ya-Jun Hu, Ying-Ying Gao +2
This paper proposes a GRPO-based approach to enhance the performance of large language model (LLM)-based text-to-speech (TTS) models by deriving rewards from an off-the-shelf autom…
DiffStyleTTS: Diffusion-based Hierarchical Prosody Modeling for Text-to-Speech with Diverse and Controllable Styles
Jiaxuan Liu, Zhaoci Liu, Yajun Hu +3
Human speech exhibits rich and flexible prosodic variations. To address the one-to-many mapping problem from text to prosody in a reasonable and flexible manner, we propose DiffSty…
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models
Lu Dong, Zhi-Qiang Guo, Chao-Hong Tan +3
Neural network models have achieved state-of-the-art performance on grapheme-to-phoneme (G2P) conversion. However, their performance relies on large-scale pronunciation dictionarie…
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer
Jing-Xuan Zhang, Li-Juan Liu, Yan-Nian Chen +4
With the development of automatic speech recognition (ASR) and text-to-speech synthesis (TTS) technique, it's intuitive to construct a voice conversion system by cascading an ASR a…