UniSpeech-SAT-Large for Speaker Verification is a speaker verification model developed by Microsoft, licensed as open-source, and pretrained on a large dataset of 94,000 hours of speech audio. It is genuinely best at universal speech representation learning, particularly for speaker identification oriented tasks, as evidenced by its state-of-the-art performance on the SUPERB benchmark.
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Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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