activity
20242026
most citedFreeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

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

collaborators
Showing cs.SDShow all

5 papers · 1 filter

cs.SD2026

Qwen-Music Technical Report

Jin Xu, Kangdi Wang, Ruibin Yuan +24

In this report, we introduce Qwen-Music, a powerful music generation model capable of producing highly musical and high-fidelity songs with complete vocal singing. Qwen-Music suppo…

cs.SD2025

Delayed-KD: Delayed Knowledge Distillation based CTC for Low-Latency Streaming ASR

Longhao Li, Yangze Li, Hongfei Xue +4

CTC-based streaming ASR has gained significant attention in real-world applications but faces two main challenges: accuracy degradation in small chunks and token emission latency.…

cs.SD20251 cited

OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia

Xuelong Geng, Kun Wei, Qijie Shao +18

Large Language Models (LLMs) have made significant progress in various downstream tasks, inspiring the development of Speech Understanding Language Models (SULMs) to enable compreh…

cs.SD20243 cited

Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

Xiong Wang, Yangze Li, Chaoyou Fu +5

Rapidly developing large language models (LLMs) have brought tremendous intelligent applications. Especially, the GPT-4o's excellent duplex speech interaction ability has brought i…

cs.SD20241 cited

A Transcription Prompt-based Efficient Audio Large Language Model for Robust Speech Recognition

Yangze Li, Xiong Wang, Songjun Cao +3

Audio-LLM introduces audio modality into a large language model (LLM) to enable a powerful LLM to recognize, understand, and generate audio. However, during speech recognition in n…