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Enterprise AI company Cohere on Thursday launched its first voice model: Transcribe is an open source automatic speech recognition model that can be used for tasks like note-taking and speech analysis.<\/p>\n
Relatively light at just 2 billion parameters, the model is meant for use with consumer-grade GPUs for those who want to self-host it. It currently supports 14 languages: English, French, German, Italian, Spanish, Portuguese, Greek, Dutch, Polish, Chinese, Japanese, Korean, Vietnamese, and Arabic.<\/p>\n
Cohere says Transcribe beats models such as Zoom Scribe v1, IBM Granite 4.0 1B, ElevenLabs Scribe v2, and Qwen3-ASR-1.7B Speech on the Hugging Face Open ASR leaderboard<\/a>, achieving an average word error rate (WER) of 5.42, lower than any other model on the benchmark.<\/p>\n The company claims Transcribe had an average win rate of 61% over other models when human evaluators assessed its transcriptions for accuracy, coherence, and usability. However, the model fell behind its rivals when it had to transcribe Portuguese, German, and Spanish.<\/p>\n Cohere says Transcribe can process 525 minutes of audio in a minute, which is high for its class of model.<\/p>\n The company is planning to integrate Transcribe into its enterprise agent orchestration platform, North<\/a>, and is making the model available through its API<\/a> for free. The model will also be available on Model Vault<\/a>, Cohere\u2019s managed inference platform.<\/p>\n Speech recognition models are growing increasingly popular as demand grows for note-taking and dictation apps like Granola and Wispr Flow<\/a>.<\/p>\n Techcrunch event<\/p>\n \n\t\t\t\t\t\t\t\t\tSan Francisco, CA<\/span> Earlier this year, Cohere reportedly told<\/a> investors that it was generating annual recurring revenue of $240 million in 2025, and its CEO, Aidan Gomez, was cited as saying that the startup may go public \u201csoon\u201d<\/a>.<\/p>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\tOctober 13-15, 2026<\/span>\n\t\t\t\t\t\t\t<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n