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Universal Speech Model

2B-parameter speech model trained on 12M hours covering 300+ languages.

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About

The Universal Speech Model (USM) is Google's large-scale speech recognition and translation model announced in March 2023. Trained on 12 million hours of speech and 28 billion sentences of text spanning more than 300 languages, it was designed to bring automatic speech recognition to the world's most under-resourced languages.

USM powers downstream systems including YouTube captions and multilingual speech translation, and the research demonstrated strong performance on low-resource languages with minimal supervised data. The model family scales from 2 billion parameters upward.

Google published the research but did not release public weights. USM's training recipe and architecture remain influential in large-scale multilingual ASR research.

Specs

Context window

Pricing

Free quota

API access

Weights

Closed — API only

Released

March 6, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

speech-recognitionmultilingual-asrspeech-translationlow-resource-languages

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 86; Trending score 64/100 from researcher assessment.

Sources