Cohere Transcribe Arabic：专为阿拉伯语最棘手转录问题打造的开源模型
阅读原文· the-decoder.comCohere 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。
Cohere Transcribe Arabic is an open-source model built for Arabic's toughest transcription problems
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.
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.