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Alibaba's Qwen-Audio-3.0-ASR advances speech recognition with LLM integration

By PulseAugur Editorial · [1 sources] ·

Alibaba's Qwen team has introduced Qwen-Audio-3.0-ASR, a new Mixture-of-Experts large language model-based automatic speech recognition system. This model is designed to improve real-world utility by handling diverse dialects, dynamic entities, and long-range context. It supports transcription in 30 languages and 16 Chinese dialects, offering features like industry-domain entity recognition and hierarchical hotword customization. A streaming variant, Qwen-Audio-3.0-ASR-Streaming, is also available for low-latency applications, with evaluations showing competitive performance against systems like GPT-4o Transcribe and Gemini 3.1 Pro. AI

IMPACT Enhances real-world speech recognition capabilities, potentially improving applications requiring dialectal understanding and long-context processing.

RANK_REASON Publication of a technical report on a new ASR system. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Alibaba's Qwen-Audio-3.0-ASR advances speech recognition with LLM integration

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Publication of a technical report on a new ASR system. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Chuanmeng Bian, Daren Chen, Peixin Chen, Zhigao Chen, Zhiyun Fan, Zhifu Gao, Bo Gong, Qing Gu, Jiajun He, Yawei Hu, Yunjie Ji, Jingbei Li, Xiangang Li, Xu Li, Zengxi Li, Zheng Li, Chengdong Liang, Baiji Liu, Ying Liu, Bin Ma, Yiping Peng, Yuezhang Peng, … ·

    Qwen-Audio-3.0-ASR Technical Report

    arXiv:2609.07549v2 Announce Type: replace Abstract: In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integration with large language models (LLMs). However,…

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