1 citations · 3 across the 16 of their papers we have counts for
4 papers · 1 filter
Enhancing Code-Switching Speech Recognition with LID-Based Collaborative Mixture of Experts Model
Hukai Huang, Jiayan Lin, Kaidi Wang +4
Due to the inherent difficulty in modeling phonetic similarities across different languages, code-switching speech recognition presents a formidable challenge. This study proposes…
Dynamic Language Group-Based MoE: Enhancing Code-Switching Speech Recognition with Hierarchical Routing
Hukai Huang, Shenghui Lu, Yahui Shan +5
The Mixture of Experts (MoE) model is a promising approach for handling code-switching speech recognition (CS-ASR) tasks. However, the existing CS-ASR work on MoE has yet to levera…
LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation
Wenhao Guan, Kaidi Wang, Wangjin Zhou +6
Recently, the application of diffusion models has facilitated the significant development of speech and audio generation. Nevertheless, the quality of samples generated by diffusio…
MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis
Wenhao Guan, Yishuang Li, Tao Li +6
The style transfer task in Text-to-Speech refers to the process of transferring style information into text content to generate corresponding speech with a specific style. However,…