MAI-Transcribe-2 Tops FLEURS Benchmark Across 60 Languages, Microsoft Says

Covered by 2 sources
Read full post
Microsoft launched MAI-Transcribe-2, a speech recognition model excelling on the FLEURS benchmark with a 5.2% word error rate across 60 languages. It offers faster transcription speeds and enhanced features like speaker diarization, targeting applications such as clinical and legal documentation.

Covered by 2 sources


More in Machine Learning

Machine Learning3 min read

Nvidia and Palantir fine-tune a 30B Nemotron model for Nvidia’s supply chain. It beats a model 18 times its size.

Covered by 3 sources
Machine Learning6 min read

CoreWeave Puts Field Engineers Inside Customer Teams for Physical AI

Covered by 2 sources
Machine Learning2 min read

Weatherwatch: AI model beats standard methods at predicting cyclones

The Guardian