/azure-speech

name: azure-speech
description: Expert knowledge for Azure Speech in Foundry Tools development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS containers, SSML/avatars, Voice Live agents, telephony APIs, or MAI-Transcribe workloads, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure AI Language (use azure-language-service), Azure Translator (use azure-translator), Azure AI Bot Service (use azure-bot-service).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-11-08"
  generator: "docs2skills/1.0.0"

Azure Speech in Foundry Tools Skill

This skill provides expert guidance for Azure Speech in Foundry Tools. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file

> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

This skill requires **network access** to fetch documentation content:

• **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
• **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.

Category Index

| Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L36-L44 | Diagnosing and fixing common Azure Speech issues in Foundry (TTS/STT errors, SDK and container problems, deployment failures, and how to collect session/transcription IDs for support). | | Best Practices | L45-L63 | Best practices for audio/video data prep, transcription accuracy, custom voice/avatars, latency and memory tuning, reliability, and evaluation of Azure Speech and Voice Live agents. | | Decision Making | L64-L79 | Guides for choosing APIs, telephony options, and migration paths for Azure Speech (STT, TTS, custom voice, embedded models), including version upgrades and feature replacements. | | Limits & Quotas | L80-L89 | Quotas, limits, regions, and lifecycle rules for Azure Speech models/endpoints, including custom voice constraints, multichannel transcription setup, and language/voice availability. | | Security | L90-L103 | Securing Azure AI Speech: auth (Entra, RBAC), network isolation (VNet, Private Link, sovereign clouds), encryption/BYOK/BYOS, compliance/consent, and secure custom/voice/avatar model integration. | | Configuration | L104-L136 | Configuring Azure Speech behavior: batch TTS/STT settings, audio inputs, logging/tracing, SSML/phonemes/pronunciation, avatars/containers, Voice Live options, and storage/cache integration. | | Integrations & Coding Patterns | L137-L170 | Patterns and APIs for integrating Azure Speech/Voice Live with apps, agents, telephony, REST/SDK, SSML, avatars, OpenAI, and MAI-Transcribe for real-time and batch speech. | | Deployment | L171-L181 | Deploying and running Azure Speech services (STT, TTS, language ID) via containers, Kubernetes/Helm, and batch APIs, including custom models and on-premises setups. |

Troubleshooting

| Topic | URL | |-------|-----| | Troubleshoot common Azure text-to-speech issues | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/faq-tts | | Retrieve Speech to text session and transcription IDs for support | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-get-speech-session-id | | Resolve common Azure Speech in Foundry issues | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/known-issues | | Troubleshoot Azure Speech containers deployment issues | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-faq | | Diagnose and fix common Azure Speech SDK issues | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/troubleshooting |

Best Practices

| Topic | URL | |-------|-----| | Prepare and locate audio data for batch transcription | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-audio-data | | Create high-quality human-labeled speech transcriptions | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-human-labeled-transcriptions | | Prepare training data for professional custom voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-voice-training-data | | Apply best practices to reduce Speech synthesis latency | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-lower-speech-synthesis-latency | | Track and manage Azure Speech SDK memory usage | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-track-speech-sdk-memory-usage | | Handle interrupted responses in Voice Live chat history | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-auto-truncation | | Evaluate Voice Live agents with Foundry harness | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-evaluate | | Use phrase lists to improve Azure Speech accuracy | https://learn.microsoft.com/en-us/azure/ai-servi