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title: Announcing Azure AI Speech LLM 09-2026: Broader locale...
description: Azure AI Speech's LLM Speech 09-2026 release adds 25 new languages, including 11 Indic languages, bringing total coverage to 50 languages across 60+ locales....
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Announcing Azure AI Speech LLM 09-2026: Broader locale support

**[DevBlogs](https://daily.dev/sources/devblogs)** · 4 min read · 0 upvotes · 0 comments

## Summary

Azure AI Speech's LLM Speech 09-2026 release adds 25 new languages, including 11 Indic languages, bringing total coverage to 50 languages across 60+ locales. The update delivers up to 2x faster processing versus the prior 2607 release, particularly for short 5-10 second audio at high concurrency. Internal evaluations show up to 25% improvement in Token Error Rate and 37% in Entity Error Rate across internal and public benchmarks like GigaSpeech and VoxPopuli, particularly on earnings domain entities. The work aims to reduce hallucinations on silent or empty audio. It supports phrase lists of up to 2,000 terms and is available through the Fast Transcription API with no customer action required.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://devblogs.microsoft.com/foundry/announcing-azure-ai-speech-llm-09-2026>

## Questions this post answers

### How many languages does Azure AI Speech's LLM Speech model support after the 09-2026 update?

It supports 50 languages covering more than 60 locales. The 09-2026 release added 25 new languages, including 11 Indic languages (Assamese, Bengali, Gujarati, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, Urdu) plus Catalan, Malay, and Welsh.

_daily.dev helps teams picking a speech-to-text provider track locale coverage changes like this._

### How much faster is Azure LLM Speech 09-2026 compared to the previous 2607 version?

It processes audio up to 2x faster than the 2607 release, with the biggest gains on short audio clips of 5 to 10 seconds under high concurrency with multiple simultaneous streams. Accuracy also improved, with up to 25% better Token Error Rate and 37% better Entity Error Rate on benchmarks like GigaSpeech and VoxPopuli.

_Developers tuning transcription pipelines can follow speed and accuracy updates like this on daily.dev._

### How many phrases can I add to a phrase list in Azure Speech's fast or LLM transcription API?

Up to 2,000 phrases are supported through the dedicated phraseList parameter, useful for improving recognition of product names, acronyms, and domain-specific terms in transcription requests.

_daily.dev keeps developers integrating speech APIs current on parameter limits and feature changes._

## Similar posts on daily.dev

- [Speech Transcription Enhancements with LLM Speech](https://daily.dev/posts/speech-transcription-enhancements-with-llm-speech-1tbuo9248) · DevBlogs · 1 upvotes · 0 comments
- [Medium](https://daily.dev/posts/medium-vrsqfgio1) · Medium · 1 upvotes · 0 comments

---

Tags: [#azure](https://daily.dev/tags/azure), [#rest-api](https://daily.dev/tags/rest-api), [#speech-recognition](https://daily.dev/tags/speech-recognition)

[View this post on daily.dev](https://daily.dev/posts/announcing-azure-ai-speech-llm-09-2026-broader-locale-support-bhbwchm23)

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