Microsoft’s Azure AI Speech LLM 2607 improves recognition when speakers switch languages during the same conversation. It also strengthens punctuation, number transcription, names and domain-specific terms while providing better phrase-list customization.
What changed
Multilingual improvements can be adopted through the existing REST APIs and SDKs without changing the application architecture.
Why it matters
Indian voice agents regularly encounter Hindi-English code-switching, regional accents, customer names and business-specific terminology.
Practical takeaway
Create a voice evaluation set containing Hinglish, names, addresses, policy numbers and noisy audio; measure word error rate separately for each category.
Analysis
Microsoft’s quality figures come from its evaluations, so accuracy should be tested against recordings from the intended production environment.
Published
10 September 2026
