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-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
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 language and voice availability for Azure Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support |
| Deploy professional voice models to custom endpoints | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-deploy-endpoint |
| Train professional voice models and understand duration | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-train-voice |
| Find supported regions and endpoints for Azure Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/regions |
| Reference quotas and limits for Azure Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-quotas-and-limits |