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Cohere 发布开源 ASR 模型 Transcribe,刷新语音识别准确率纪录

原标题:Cohere is announcing Transcribe, a state-of-the-art automatic speech recognition (ASR) model that is open source and available today for download.

Cohere Blog一手来源模型发布质量 85

AI 摘要

Cohere 发布了开源自动语音识别模型 Transcribe,基于 Conformer 架构,支持 14 种语言,在 HuggingFace Open ASR 排行榜上以 5.42% 的平均词错误率排名第一,超越 Whisper Large v3 等模型。该模型注重生产就绪性,提供高效推理和多种部署方式,并计划与 Cohere 的代理编排平台 North 集成。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Cohere is announcing Transcribe, a state-of-the-art automatic speech recognition (ASR) model that is open source and available today for download. Speech is rapidly becoming a core modality for AI-enabled workloads and automations — from meeting transcription and speech analytics to real-time customer support agents. Our objective was straightforward: push the frontier of dedicated ASR model accuracy under practical conditions. The model was trained from scratch with a deliberate focus on minimi


发布时间:
抓取时间:2026-08-02 00:25
来源机构:Cohere
阅读原文cohere.com