NEWS · MODELS · #416
Cohere releases open-source "Transcribe Arabic" ASR model claiming best open-weight Arabic accuracy
Cohere published Transcribe Arabic, an open-source Arabic automatic speech recognition (ASR) model (Apache 2.0) based on its 2B ASR work. Cohere says the model achieves a 25.87 WER on the Hugging Face Arabic ASR leaderboard, outperforming Meta’s OmniASR-LLM-7B and OpenAI’s Whisper Large V3, and was preferred to Whisper in about 96% of human evaluation tests; weights are available on Hugging Face and via the Cohere API/Model Vault.
KEY POINTS
- Cohere published Transcribe Arabic, an open-source Arabic automatic speech recognition (ASR) model (Apache 2.0) based on its 2B ASR work.
- Cohere says the model achieves a 25.87 WER on the Hugging Face Arabic ASR leaderboard, outperforming Meta’s OmniASR-LLM-7B and OpenAI’s Whisper Large V3, and was preferred to Whisper in about 96% of human evaluation tests; weights are available on Hugging Face and via the Cohere API/Model Vault.
- An open-source, enterprise-ready Arabic ASR model with reported leaderboard-leading WER and strong human-eval preference can materially improve Arabic speech tooling and reduce dependence on proprietary systems.
WHY IT MATTERS
An open-source, enterprise-ready Arabic ASR model with reported leaderboard-leading WER and strong human-eval preference can materially improve Arabic speech tooling and reduce dependence on proprietary systems.
SOURCES & TIMELINE
1Unmatched transcription accuracy — our first step toward powering enterprise speech intelligence in North. 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 a…
Our fastest and most powerful language model yet. Command A+ is an open-source enterprise workhorse built for complex reasoning, multimodal and multilingual agentic tasks — all while running on as little as two H100 GPUs. Today, we’re releasing Command A+ open-source. A mixture-of-experts (MoE) model, Command A+ is an efficient, versatile, and privately deployable LLM built for high-performance agentic tasks with min…
The world’s most accurate open-source model for Arabic speech recognition. Transcribe Arabic achieves the highest accuracy for Arabic-language transcription among open-weights models. It is designed to capture the nuances and dialectical richness of Arabic, while being fit for enterprise speech applications. Human reviewers preferred Cohere Transcribe Arabic to Whisper in 96% of tests. This is a proud advance in the …