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.
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!
About Universal-1 on Product Hunt
“Multilingual speech AI model trained on 12.5M hours of data”
Universal-1 launched on Product Hunt on May 21st, 2024 and earned 421 upvotes and 20 comments, placing #13 on the daily leaderboard. 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.
On the analytics side, Universal-1 competes within Developer Tools, Artificial Intelligence and Audio — topics that collectively have 979.2k followers on Product Hunt. The dashboard above tracks how Universal-1 performed against the three products that launched closest to it on the same day.
Who hunted Universal-1?
Universal-1 was hunted by Meredith Rauch. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Meredith Rauch