activity
20242026
most citedCosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

4 citations · 9 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL20261 cited

Fun-Audio-Chat Technical Report

Tongyi Fun Team, Qian Chen, Luyao Cheng +10

Recent advancements in joint speech-text models show great potential for seamless voice interactions. However, existing models face critical challenges: temporal resolution mismatc…

cs.CL2025

Fun-ASR Technical Report

Keyu An, Yanni Chen, Zhigao Chen +35

In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model size scaling, and deep in…

cs.SD2025

SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models

Han Yin, Yafeng Chen, Chong Deng +6

The Speaker Diarization and Recognition (SDR) task aims to predict "who spoke when and what" within an audio clip, which is a crucial task in various real-world multi-speaker scena…

cs.CL2025

DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations

Chao-Hong Tan, Qian Chen, Wen Wang +14

Recent studies on end-to-end (E2E) speech generation with large language models (LLMs) have attracted significant community attention, with multiple works extending text-based LLMs…

eess.AS2025

Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation

Wenrui Liu, Qian Chen, Wen Wang +11

Neural audio codecs, used as speech tokenizers, have demonstrated remarkable potential in the field of speech generation. However, to ensure high-fidelity audio reconstruction, neu…

cs.SD20251 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…