
azure-speech
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 Azure Speech STT/TTS, avatars, containers/Kubernetes, telephony/Voice Live, or custom voice models, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure AI Bot Service (use azure-bot-service), Azure Communication Services (use azure-communication-services), Azure Translator (use azure-translator).
- Installs
- 241
- Last 24h
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads azure-speech automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=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-L62 | Best practices for audio/video prep, transcription quality, custom voice/avatars, latency and memory tuning, keyword/phrase accuracy, device design, reliability, and backup/recovery for Azure Speech. |
| Decision Making | L63-L78 | Guides for choosing APIs, telephony options, and evaluating devices/voice types, plus step-by-step migrations between Speech/voice REST versions and from retired features to newer services. |
| Limits & Quotas | L79-L86 | Quotas, limits, and lifecycle rules for Azure Speech: custom speech/voice models and endpoints, supported languages/voices, and capacity constraints for deploying and using Speech services. |
| Security | L87-L100 | 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 | L101-L134 | Configuring Azure Speech/Voice features: recognition, TTS, avatars, containers, logging, storage, phonetics/SSML, audio inputs, diagnostics, and Voice Live/CLI runtime and output options. |
| Integrations & Coding Patterns | L135-L168 | Patterns and code samples for integrating Azure Speech (STT, TTS, avatars, translation) with telephony, Voice Live, REST/SDK APIs, OpenAI, automation tools, and real-time agent workflows. |
| Deployment | L169-L179 | 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
Decision Making
Limits & Quotas
| Topic | URL |
|---|---|
| Manage custom speech model and endpoint lifecycle | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-model-and-endpoint-lifecycle |
| Check Azure Speech language and voice availability | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support |
| Custom voice endpoint limits for Speech service | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-deploy-endpoint |
| Reference quotas and limits for Azure Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-quotas-and-limits |
Security
Configuration
Integrations & Coding Patterns
Deployment
FAQ
What does the azure-speech skill do?
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 Azure Speech STT/TTS, avatars, containers/Kubernetes, telephony/Voice Live, or custom voice models, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure AI Bot Service (use azure-bot-service), Azure Communication Services (use azure-communication-services), Azure Translator (use azure-translator).
How do I install azure-speech?
Run npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/azure-speech/ (personal) or .claude/skills/azure-speech/ (project).
Which AI agents can use azure-speech?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is azure-speech safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains azure-speech?
It is published by microsoftdocs in microsoftdocs/agent-skills. It has 241 recorded installs.
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