Qwen-Audio-3.1-ASR Technical Report
A source-linked abstract prepared once when this article was collected.
The paper presents Qwen-Audio-3.1-ASR, a family of audio-language models built on its predecessor Qwen-Audio-3.0-ASR. It reports improved speech recognition and expanded speaker-diarized transcription, with support for 30 languages and 16 Chinese dialects. Instruction-controlled features include historical-context conditioning, hierarchical hotword customization, and transcription polishing. The family covers audio, speech, and music captioning, temporal grounding, sound event detection, audio question answering, and multiple-choice reasoning. Variants target asynchronous file transcription, low-latency streaming, interactive voice input, and non-streaming recognition.
Why it matters
Combining speaker-attributed transcription with broader audio understanding in one model family could simplify speech pipelines that currently chain separate systems.
Read with care
Source claims not independently checked; the supplied text is an abstract and metadata only, without benchmark numbers or method details.
Discussion
Comments are reviewed before publication. Discuss the evidence, not the person.
No published comments yet.
Reader discussion opens with accounts. You can read the original source and published comments now.