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AssemblyAI has launched Universal-1, a groundbreaking speech-to-text AI model, achieving unprecedented accuracy in multiple languages including English, Spanish, French, and German. The model, which outperforms competitors such as OpenAI's Whisper and NVIDIA's Canary, is trained on over 12.5 million hours of multilingual audio data. It is touted as the most accurate and powerful speech recognition model to date, being 13.5% more accurate and 30% less error-prone than its closest competitors. Additionally, Universal-1 has been fine-tuned with 1.62 million hours of human and pseudo-labeled data, setting a new benchmark in the field of automatic speech recognition. Notably, it beats OpenAI Whisper and costs $0.37 to process an hour of audio.
Breaking! 🚨 AssemblyAI launched Universal-1 ASR, a highly accurate, multilingual speech-to-text model. Key features: • Trained on 12.5 million hours (~3 petabytes) of training data • 30% less likely to make errors compared to Whisper • Costs $0.37 to process an hour of…
Automatic Speech Recognition is getting crazy good! Universal-1 is a new model pre-trained on 12.5 million hours of multilingual audio data and fine-tuned on 1.62 million human and pseudo-labeled data. And it's good! • It's 13.5% more accurate than other popular models •… https://t.co/EiUzl8OWz3
AssemblyAI Unveils Universal-1: Surpassing Whisper-3 with Groundbreaking Accuracy and Speed in Speech Recognition Quick read: https://t.co/WUWL2vK3oE Try Universal-1 on Playground: https://t.co/76kXmnjQ3J Key Takeaways: ✅ Universal-1 outperforms OpenAI’s Whisper-3, offering…
