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Microsoft's MAI-Transcribe-1.5 delivers a practical production upgrade by expanding language coverage to 43 while achieving a 2.4% WER on the Artificial Analysis leaderboard and processing long audio files up to 5x faster than comparable models. Although it ranks third on this specific open benchmark, the model maintains best-in-class accuracy on the FLEURS standard, positioning it as a viable option for enterprise workloads within Azure AI Foundry, Copilot, and Teams. The addition of 18 new languages, particularly in South Asian and European regions, significantly broadens its utility for global transcription pipelines without sacrificing performance.

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Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on Artificial Analysis, Best-in-Class FLEURS Accuracy, and Up to 5x Faster Long-Audio Transcription

MarkTechPostJune 8, 20264 min read

Microsoft AI has released MAI-Transcribe-1.5, the second iteration of its in-house speech-to-text family. The model covers 43 languages, adds keyword (entity) biasing for domain-specific terms, posts a 2.4% Word-Error-Rate on the Artificial Analysis leaderboard, and transcribes an hour of audio in under 15 seconds. It is generally available in Azure AI Foundry. The post Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on Artificial Analysis, Best-in-Class FLEURS Accuracy, and Up to 5x Faster Long-Audio Transcription appeared first on MarkTechPost.

Last week Microsoft AI has announced MAI-Transcribe-1.5. It is the second iteration of the company’s in-house speech-to-text family. The model targets accuracy across 43 languages, accents, and noisy environments. The Microsoft team positions it for production transcription workloads. What is MAI-Transcribe-1.5 MAI-Transcribe-1.5 is an automatic speech recognition (ASR) model. It takes audio as input and returns text. Microsoft built it in-house,…

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