Cohere launches an open-source voice model specifically for transcription
Cohere unveils open-source voice model for transcription tasks.
Cohere has introduced Transcribe, its first open-source automatic speech recognition model designed for transcription tasks like note-taking and speech analysis. With a lightweight architecture of 2 billion parameters, it supports 14 languages and claims to have a superior word error rate of 5.42, outperforming several established competitors. The company plans to integrate Transcribe into its enterprise platform, North, and make it freely available through its API.
Key Takeaways
- 1.
Transcribe supports 14 languages including English, Spanish, and Chinese.
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The model achieves an average word error rate (WER) of 5.42, outperforming competitors.
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Cohere plans to integrate Transcribe into its enterprise platform, North.
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