activity
20232026
most citedCosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

4 citations · 9 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SD2026

JoyAI-Talker: Full-Duplex Speech Interactive Large Model Built for Empathetic Voice Agents

Yinhao Bai, Jinming Chen, Yafeng Chen +26

We present JoyAI-Talker, a full-duplex speech dialogue system that delivers robust foundation model capabilities while empowering empathetic interaction and voice agent intelligenc…

cs.LG2026

The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training

Hengjie Cao, Zhendong Huang, Mengyi Chen +15

FP4 training promises substantial memory and compute savings for large language models, but remains fragile because blockwise quantization is dictated by extreme activation magnitu…

cs.SD2025

JoyVoice: Long-Context Conditioning for Anthropomorphic Multi-Speaker Conversational Synthesis

Fan Yu, Tao Wang, You Wu +22

Large speech generation models are evolving from single-speaker, short sentence synthesis to multi-speaker, long conversation geneartion. Current long-form speech generation models…

cs.SD2025★ 1 cited

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…

eess.AS2025

EmoVoice: LLM-based Emotional Text-To-Speech Model with Freestyle Text Prompting

Guanrou Yang, Chen Yang, Qian Chen +12

Human speech goes beyond the mere transfer of information; it is a profound exchange of emotions and a connection between individuals. While Text-to-Speech (TTS) models have made h…

cs.SD2024★ 4 cited

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Zhihao Du, Yuxuan Wang, Qian Chen +16

In our previous work, we introduced CosyVoice, a multilingual speech synthesis model based on supervised discrete speech tokens. By employing progressive semantic decoding with two…

eess.AS2024

Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap

Guanrou Yang, Fan Yu, Ziyang Ma +4

While automatic speech recognition (ASR) systems have achieved remarkable performance with large-scale datasets, their efficacy remains inadequate in low-resource settings, encompa…

cs.CL2024★ 4 cited

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Ziyang Ma, Guanrou Yang, Yifan Yang +8

In this paper, we focus on solving one of the most important tasks in the field of speech processing, i.e., automatic speech recognition (ASR), with speech foundation encoders and…

cs.SD2024

LCB-net: Long-Context Biasing for Audio-Visual Speech Recognition

Fan Yu, Haoxu Wang, Xian Shi +1

The growing prevalence of online conferences and courses presents a new challenge in improving automatic speech recognition (ASR) with enriched textual information from video slide…

cs.SD2023

Hourglass-AVSR: Down-Up Sampling-based Computational Efficiency Model for Audio-Visual Speech Recognition

Fan Yu, Haoxu Wang, Ziyang Ma +1

Recently audio-visual speech recognition (AVSR), which better leverages video modality as additional information to extend automatic speech recognition (ASR), has shown promising r…

cs.SD2023

SlideSpeech: A Large-Scale Slide-Enriched Audio-Visual Corpus

Haoxu Wang, Fan Yu, Xian Shi +3

Multi-Modal automatic speech recognition (ASR) techniques aim to leverage additional modalities to improve the performance of speech recognition systems. While existing approaches…