8 citations · 18 across the 6 of their papers we have counts for
6 papers
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
Zhihao Du, Changfeng Gao, Yuxuan Wang +19
In our prior works, we introduced a scalable streaming speech synthesis model, CosyVoice 2, which integrates a large language model (LLM) and a chunk-aware flow matching (FM) model…
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Qian Chen, Yafeng Chen, Yanni Chen +33
Recent advancements in large language models (LLMs) and multimodal speech-text models have laid the groundwork for seamless voice interactions, enabling real-time, natural, and hum…
E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models
Hongfei Xue, Yuhao Liang, Bingshen Mu +4
This study focuses on emotion-sensitive spoken dialogue in human-machine speech interaction. With the advancement of Large Language Models (LLMs), dialogue systems can handle multi…
FunASR: A Fundamental End-to-End Speech Recognition Toolkit
Zhifu Gao, Zerui Li, Jiaming Wang +8
This paper introduces FunASR, an open-source speech recognition toolkit designed to bridge the gap between academic research and industrial applications. FunASR offers models train…
Discriminative Self-training for Punctuation Prediction
Qian Chen, Wen Wang, Mengzhe Chen +1
Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the per…
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection
Qian Chen, Mengzhe Chen, Bo Li +1
With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcri…