About azure-speech
azure-speech is a guidance skill for developers and operators working with Azure Speech in Foundry Tools. It brings together local references and remotely fetched documentation on speech features, security, integration, and deployment.
Key features
- 01Speech troubleshooting references
- 02Audio and transcription best practices
- 03API selection and migration guidance
- 04Security and configuration references
- 05Integration and deployment patterns
Use cases
- 01Resolving Speech SDK or container issues
- 02Preparing audio for batch transcription
- 03Planning REST API or feature migrations
- 04Deploying Speech services in containers
MCP support
The skill can retrieve Microsoft documentation using mcp_microsoftdocs:microsoft_docs_fetch, with webpage fetching as a fallback.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ microsoftdocs/ agent-skills --skill azure-speechAfter installing, type/azure-speechin Claude Code to confirm it loaded.
Details
From the project READMEAzure 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 |