
What happened
IBM released Granite Speech 5.0 2B, a 2-billion-parameter open-source model trained on 390,000 hours of public audio, ranking #2 among public models with a 5.06% average word error rate on IBM's English test.
Why it matters
The model handles six languages, up to 2,000 user-specified keywords for names and technical terms, and improved translation, so meetings with jargon and noisy recordings become easier to transcribe accurately.
WHO IT HITSEnterprise IT teams and developers building meeting transcription, subtitle, and call-center tools can now self-host these models commercially under Apache 2.0, while teams recording noisy or multi-speaker audio get a higher-accuracy option.
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IBM's update splits the Granite Speech family into three purpose-built models rather than one general-purpose system. The flagship Granite Speech 5.0 2B keeps the previous model's 2-billion-parameter size but was trained on 390,000 hours of public audio, and IBM is emphasizing robustness to noise and reverberation — conditions that trip up transcription in real meeting rooms and factory floors. A new keyword feature lets users pre-register up to 2,000 terms, aimed at the common failure where names, product names, and acronyms are misheard.
The lightweight Granite Speech 5.0 470M Turbo CTC moves from English-only to seven languages including Japanese, adds automatic punctuation and English capitalization, and runs about 1.6 times faster, which IBM frames around on-device transcription. Separately, the Granite Speech 4.1 2B Plus targets multi-speaker recordings, with speaker-identification error down about 7% and long-audio transcription error down 24% — improvements that matter for subtitling and searching recorded conversations.
Because all three ship under Apache 2.0, companies can deploy and modify them commercially without a proprietary license, which may make them an attractive option for organizations that want speech tools running on their own infrastructure rather than through a cloud API.
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