/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 building STT/TTS containers, Voice Live chats, custom voices/avatars, telephony flows, or batch synthesis, 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 Vision (use azure-ai-vision).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-08-09"
  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-L45 | Diagnosing and fixing common Azure Speech issues across TTS, STT, SDK, containers, CRL compatibility, and retrieving session/transcription IDs for support. | | Best Practices | L46-L61 | Guidance on preparing audio/video data, improving transcription and synthesis quality/latency, designing microphones, managing SDK memory, handling live voice chats, and backing up custom voice resources. | | Decision Making | L62-L76 | Guides for choosing Azure Speech/Embedded/Voice Live options, checking language/voice availability, and step-by-step migrations between Speech/voice REST APIs and legacy features. | | Limits & Quotas | L77-L86 | Limits, quotas, regions, and availability for Azure Speech services, including TTS FAQs, supported languages/voices, and lifecycle/deployment rules for custom and professional voice models. | | Security | L87-L100 | Securing Azure AI Speech: auth (Entra, RBAC), network isolation (VNet, Private Link, sovereign clouds), encryption/BYOK, BYOS storage, and consent/ID workflows for personal and professional voice. | | Configuration | L101-L136 | Configuring Azure Speech and Voice Live behavior: audio inputs, logging, containers, SSML, pronunciation, avatars, batch/real-time settings, and SDK/CLI connection, tracing, and latency options. | | Integrations & Coding Patterns | L137-L167 | Patterns and APIs for integrating Azure Speech and Voice Live: telephony, REST/SDK usage, TTS/avatars, translation, transcription (incl. LLM), custom models, agents, WebSockets, and automation. | | Deployment | L168-L178 | Deploying and scaling Azure AI Speech: Docker/Kubernetes containers, on-prem STT/TTS, custom speech models/endpoints, language ID, and batch/long-form synthesis workflows. |

Troubleshooting

| Topic | URL | |-------|-----| | Resolve common Azure Speech 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 | | Resolve Azure AI Speech SDK CRL compatibility issues | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-sdk-1-48-2 | | 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 | | Use phrase lists to improve Azure Speech accuracy | https://lear