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Assembly AI claims its new Universal-1 model has 30% fewer hallucinations than Whisper
Assembly AI claims its new Universal-1 speech recognition model beats OpenAI's Whisper Large-3 and other AI providers in accuracy and latency.
Image credit: Assembly AI Universal-1 also supports improved timestamp estimation, which is important when working with audio and video editing and conversation analytics. Request an invite The benefits of having improved speech-to-text AI models are that notetakers can generate more accurate and hallucination-free notes, identify action items and sort out metadata such as proper nouns, who’s speaking and timing information. Additionally, it’ll help creator tool applications incorporating AI-powered video editing workflows, telehealth platforms automated clinical note entry and claims submission processes where accuracy is important, and more.
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