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Meredith Rauch
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The Universal-1 Speech-to-Text model was created to focus on the nuances of spoken language across accents, tone, dialect, faithfulness, and more. We hope the new capabilities of Universal-1 will help power the next generation of AI products and features built with voice data. Give it a try and let us know what you're building!
Universal-1
Multilingual speech AI model trained on 12.5M hours of data
Try AssemblyAI's most capable and highly trained speech recognition model trained on 12.5M hours of multilingual audio data. Universal-1 achieves best-in-class speech-to-text accuracy, reduces word error rate and hallucinations, and improves timestamps.
Universal-1
Multilingual speech AI model trained on 12.5M hours of data
LeMUR is a framework for applying Large Language Models to spoken data. In a few lines of code, you can do things like generate summaries or ask questions about your meetings, phone calls, videos, or podcasts.
LeMUR
The easiest way to build LLM apps on voice data