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Qwen-Audio-3.1-ASR adds diarization and broader audio understanding

Original title: Qwen-Audio-3.1-ASR Technical Report

Hugging Face daily papersby Chuanmeng Bian, Daren Chen, Peixin Chen ()1 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The family keeps 30 languages and 16 Chinese dialects, with file, streaming, and interactive variants.

The Qwen-Audio-3.1-ASR report presents a family that extends Qwen-Audio-3.0-ASR with stronger speech recognition, speaker-diarized transcription, and general audio understanding. Diarized output includes speaker labels, timestamps, and text, including overlapping speech. Variants cover file transcription, low-latency streaming, interactive voice input, and non-streaming recognition; diarization and audio understanding appear only in some variants.

Unconfirmed: Capability claims come from the authors' technical report, without independent confirmation.

Key facts
  • Controls include history conditioning, hotwords, and transcription polishing.
  • Audio tasks cover captioning, grounding, event detection, and question answering.
  • Evaluations span conventional, multilingual, dialectal, and diarized speech.
  • Diarization and general audio understanding are limited to certain variants.
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From the original article

1 min read at huggingface.co

We present Qwen-Audio-3. 1-ASR, a family of audio-language models that builds upon its predecesor Qwen-Audio-3. 0-ASR with improved speech recognition and expanded capabilities in speaker-diarized transcription and general audio understanding.

Hugging Face daily papers

By Chuanmeng Bian, Daren Chen, Peixin Chen · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.