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 STT/TTS, custom voices/avatars, Speech containers, Voice Live, or telephony/agent integrations, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure Translator (use azure-translator), Azure AI Vision (use azure-ai-vision), Azure AI Video Indexer (use azure-v
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SKILL.md
name: azure-speechdescription: 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 STT/TTS, custom voices/avatars, Speech containers, Voice Live, or telephony/agent integrations, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure Translator (use azure-translator), Azure AI Vision (use azure-ai-vision), Azure AI Video Indexer (use azure-video-indexer).compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.metadata: generated_at: "2026-11-01" 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), 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 migration paths for Azure Speech (STT, TTS, custom voice, embedded models), including version upgrades and feature replacements. |
| 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-L135 | Configuring Azure Speech/Voice features: recognition, TTS, avatars, containers, logging, storage, SSML, devices, diagnostics, and Voice Live/CLI runtime and connection settings. |
| Integrations & Coding Patterns | L136-L169 | Patterns and APIs for integrating Azure Speech (STT, TTS, avatars, Voice Live) with apps, agents, telephony, REST/SDK, SSML, and Realtime/OpenAI tools. |
| Deployment | L170-L180 | 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 |