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, CRL issues, and Voice Live reliability/evaluation |
| 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-L85 | Managing custom speech/voice models and endpoints, plus quotas, capacity limits, and scaling constraints for Azure Speech workloads. |
| Security | L86-L99 | 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 | L100-L133 | 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 | L134-L168 | Patterns and APIs for integrating Azure Speech (STT, TTS, avatars, translation) and Voice Live with telephony, agents, REST/SDK, WebRTC/WebSockets, and automation tools like Power Automate. |
| 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 |
| Custom voice endpoint limits for Speech service | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-deploy-endpoint |
| Review quotas and limits for Azure Speech workloads | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-quotas-and-limits |