# Cohere Transcribe Arabic：专为阿拉伯语最棘手转录问题打造的开源模型

- 来源：The Decoder：AI News（RSS）
- 作者：Matthias Bastian
- 发布时间：2026-07-08 01:54
- AIHOT 分数：61
- AIHOT 链接：https://aihot.virxact.com/items/cmrayozsc0274ihogg45ewgke
- 原文链接：https://the-decoder.com/cohere-transcribe-arabic-is-an-open-source-model-built-for-arabics-toughest-transcription-problems

## AI 摘要

Cohere 发布开源语音识别模型 Cohere Transcribe Arabic，参数量为 20 亿，专为解决阿拉伯语方言多样性、双语对话、代码切换和术语识别等难题设计。该模型在基准测试中超越 Whisper Large V3、标准 Cohere Transcribe 模型及其他系统，据称是目前最准确的阿拉伯语开源语音转文本系统。模型采用 Apache 2.0 许可，已在 Hugging Face 和 Cohere API 上提供。

## 正文

Cohere Transcribe Arabic is an open-source model built for Arabic's toughest transcription problems

Matthias Bastian View the LinkedIn Profile of Matthias Bastian

Jul 7, 2026

Cohere has released Cohere Transcribe Arabic, an open-source model built for Arabic speech recognition. The 2-billion-parameter ASR model is, according to Cohere, the most accurate open-source Arabic speech-to-text system available. It targets the specific challenges of Arabic speech, including dialect variety, bilingual Arabic-English conversations, code-switching, and specialized vocabulary. Cohere says it outscores Whisper Large V3, the standard Cohere Transcribe model, and other systems in benchmarks.

Human ratings of Arabic transcripts on a scale of 1 to 5: Cohere Transcribe Arabic outperforms Whisper Large V3 and the standard Cohere Transcribe model in overall quality, dialect faithfulness, and code-switching. | Image: Cohere

The model ships under the Apache 2.0 license and is available on Hugging Face and through the Cohere API. More benchmarks and examples are on the Cohere blog.