azure-speech
Expert knowledge for Azure AI Speech development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom speech or voice training, Voice Live/avatars, batch jobs, or telephony integrations, and other Azure AI Speech related development tasks. Not for Azure Communication Services (use azure-communication-services), Azure AI Bot Service (use azure-bot-service), Azure AI Video Indexer (use azure-video-indexer), Azure AI Immersive Reader (use azure-immersive-reader).
Best use case
azure-speech is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert knowledge for Azure AI Speech development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom speech or voice training, Voice Live/avatars, batch jobs, or telephony integrations, and other Azure AI Speech related development tasks. Not for Azure Communication Services (use azure-communication-services), Azure AI Bot Service (use azure-bot-service), Azure AI Video Indexer (use azure-video-indexer), Azure AI Immersive Reader (use azure-immersive-reader).
Teams using azure-speech should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-speech/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-speech Compares
| Feature / Agent | azure-speech | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert knowledge for Azure AI Speech development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom speech or voice training, Voice Live/avatars, batch jobs, or telephony integrations, and other Azure AI Speech related development tasks. Not for Azure Communication Services (use azure-communication-services), Azure AI Bot Service (use azure-bot-service), Azure AI Video Indexer (use azure-video-indexer), Azure AI Immersive Reader (use azure-immersive-reader).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Azure AI Speech Skill This skill provides expert guidance for Azure AI Speech. Covers troubleshooting, best practices, decision making, architecture & design patterns, 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`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file > **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) This skill requires **network access** to fetch documentation content: - **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown. - **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown. ## Category Index | Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L37-L47 | Diagnosing and fixing common Azure Speech/Text-to-Speech/Voice Live API and SDK errors, container and Foundry issues, CRL/compatibility problems, and retrieving session/transcription IDs for support. | | Best Practices | L48-L64 | Best practices for audio/video prep, custom voice/avatars, latency and memory tuning, phrase/keyword optimization, and handling real-time Voice Live interactions and interruptions | | Decision Making | L65-L83 | Guidance on choosing speech features, evaluating models and devices, planning large-scale/batch use, and migrating between Speech/Voice API versions and related services | | Architecture & Design Patterns | L84-L88 | Architectural guidance for building call center voice agents using Azure AI Speech with Voice Live and Azure Communication Services, including integration patterns and design best practices. | | Limits & Quotas | L89-L97 | Quotas, limits, and usage patterns for Azure Speech: batch TTS, custom/pro voice training & deployment, and short audio STT, plus throttling and capacity planning guidance. | | Security | L98-L109 | Configuring security for Azure AI Speech: auth (Entra, RBAC), network isolation (VNet, Private Link, sovereign clouds), BYOS storage, encryption/keys, and voice talent consent management. | | Configuration | L110-L145 | Configuring Azure AI Speech/Voice: audio inputs, logging, storage, SSML, languages/voices, custom speech & voice training, batch/real-time settings, and Voice Live/avatars options. | | Integrations & Coding Patterns | L146-L170 | Patterns and code for integrating Azure Speech: SDK and REST usage, TTS/STT/translation, avatars, Voice Live agents, OpenAI/chat, telephony, batch jobs, and custom/personal voice. | | Deployment | L171-L182 | 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 | |-------|-----| | 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 | | 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 Speech service container deployments | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-faq | | Troubleshoot common Azure Speech SDK issues | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/troubleshooting | | Resolve common Voice Live API issues in Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-faq | ### Best Practices | Topic | URL | |-------|-----| | Prepare and locate audio data for batch transcription | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-audio-data | | Create high-quality human-labeled speech transcriptions | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-human-labeled-transcriptions | | Prepare training data for professional custom voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-voice-training-data | | Apply best practices to reduce Speech synthesis latency | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-lower-speech-synthesis-latency | | Track and manage Azure Speech SDK memory usage | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-track-speech-sdk-memory-usage | | Handle user interruptions and chat truncation in Voice Live | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-auto-truncation | | Use interim responses in Voice Live to reduce latency gaps | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-interim-response | | Improve speech recognition with phrase lists | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/improve-accuracy-phrase-list | | Apply keyword recognition design and accuracy guidelines | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/keyword-recognition-guidelines | | Record high-quality samples for custom voice training | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/record-custom-voice-samples | | Back up and recover custom Speech and Voice resources | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/resiliency-and-recovery-plan | | Design microphone arrays optimized for Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-sdk-microphone | | Prepare high-quality video samples for custom avatars | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/custom-avatar-record-video-samples | ### Decision Making | Topic | URL | |-------|-----| | Plan large-scale transcription with batch processing | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription | | Evaluate custom voice lite before professional voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/custom-neural-voice-lite | | Choose Embedded Speech for offline and hybrid scenarios | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/embedded-speech | | Evaluate device suitability for embedded speech models | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/embedded-speech-performance-evaluations | | Evaluate and compare custom speech model accuracy | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-inspect-data | | Train custom speech models and understand cost behavior | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-train-model | | Migrate Speech to text REST API from v3.2 to 2024-11-15 | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-2024-11-15 | | Migrate Speech-to-text REST from 2024-11-15 to 2025-10-15 | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-2025-10-15 | | Migrate from retired Speech intent recognition to Language or OpenAI | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-intent-recognition | | Migrate from Long Audio API to Batch synthesis | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-batch-synthesis | | Migrate from v3 text-to-speech to custom voice REST API | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-custom-voice-api | | Migrate Speech-to-text REST from v3.0 to v3.1 | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-v3-0-to-v3-1 | | Migrate Speech-to-text REST from v3.1 to v3.2 | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-v3-1-to-v3-2 | | Assess capabilities and regions for personal voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-overview | | Decide when to use Whisper for speech tasks | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/whisper-overview | ### Architecture & Design Patterns | Topic | URL | |-------|-----| | Design call center voice agents with Voice Live and ACS | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-telephony | ### 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 | | 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 | | Use Speech-to-text REST API for short audio | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-speech-to-text-short | | Apply Azure Speech quotas, limits, and throttling guidance | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-quotas-and-limits | ### Security | Topic | URL | |-------|-----| | Configure BYOS storage for Azure Speech resources | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/bring-your-own-storage-speech-resource | | Configure Microsoft Entra authentication for Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-configure-azure-ad-auth | | Manage voice talent consent for professional voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create-consent | | Assign Azure RBAC roles for Speech resources | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/role-based-access-control | | Use Azure Speech service in sovereign clouds | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/sovereign-clouds | | Manage Speech service data-at-rest encryption and keys | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-encryption-of-data-at-rest | | Secure Speech service with Virtual Network service endpoints | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-service-vnet-service-endpoint | | Secure Azure AI Speech with Private Link endpoints | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-services-private-link | ### Configuration | Topic | URL | |-------|-----| | Configure Microsoft Audio Stack in Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/audio-processing-speech-sdk | | Configure Batch synthesis properties for text-to-speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-synthesis-properties | | Check status and retrieve batch transcription results | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-get | | Configure BYOS storage for Speech to text | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/bring-your-own-storage-speech-resource-speech-to-text | | Define UPS phonetic pronunciations for Speech to text | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/customize-pronunciation | | Configure OpenSSL on Linux for Azure Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-configure-openssl-linux | | Control and monitor Speech SDK service connections | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-control-connections | | Create and manage custom speech fine-tuning projects | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-create-project | | Prepare and upload datasets for custom speech training | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-upload-data | | Configure post-processing options for Speech recognition | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-post-processing | | Configure real-time speech recognition inputs and options | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-recognize-speech | | Select and configure audio input devices in Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-select-audio-input-devices | | Use visemes for facial animation with Speech service | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech-synthesis-viseme | | Configure Speech SDK audio input streams | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-audio-input-streams | | Configure compressed audio input for Speech SDK and CLI | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-codec-compressed-audio-input-streams | | Enable and configure Speech SDK diagnostic logging | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-logging | | Check Azure Speech language and voice availability | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support | | Configure audio and transcription logging for Speech recognition | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/logging-audio-transcription | | Upload and validate training datasets for professional voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create-training-set | | Use correct regional endpoints for Azure Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/regions | | Configure Speech containers storage, logging, and security | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-configuration | | Control speech output using SSML configuration | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup | | Configure pronunciation with SSML phonemes and lexicons | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-pronunciation | | Structure SSML documents and events for Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-structure | | Configure voice and sound using SSML in Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-voice | | Configure Speech CLI datastore search order and files | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/spx-data-store-configuration | | Configure output destinations for Speech CLI results | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/spx-output-options | | Configure batch synthesis properties for TTS avatars | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/batch-synthesis-avatar-properties | | Reference Voice Live API events, models, and settings (2025-10-01) | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-api-reference-2025-10-01 | | Reference Voice Live API events and settings (2026-01-01-preview) | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-api-reference-2026-01-01-preview | | Customize Voice Live input and output models | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-how-to-customize | | Configure language and locale for Voice Live API | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-language-support | ### Integrations & Coding Patterns | Topic | URL | |-------|-----| | Integrate Speech service with call center telephony | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/call-center-telephony-integration | | Use Speech SDK APIs to handle recognition results | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/get-speech-recognition-results | | Integrate custom models with Voice Live BYOM | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-bring-your-own-model | | Implement text-to-speech synthesis with Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech-synthesis | | Implement speech translation with Azure Speech SDK | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-translate-speech | | Build real-time voice agents with Voice Live and Foundry Agent Service | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-agent-integration | | Implement function calling in Voice Live conversations | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-function-calling | | Add proactive greetings to Voice Live agents | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-proactive-messages | | Call the LLM-speech API for transcription and translation | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/llm-speech | | Use MAI-Transcribe-1 with LLM Speech API | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/mai-transcribe | | Integrate Azure Speech with Azure OpenAI chat | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/openai-speech | | Add and manage user consent for personal voice | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-create-consent | | Create personal voice projects via Custom Voice API | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-create-project | | Use Power Automate connector for Speech batch transcription | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/power-automate-batch-transcription | | Integrate with Speech-to-text REST API 2025-10-15 | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-speech-to-text | | Call Text-to-speech REST API for voice synthesis | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-text-to-speech | | Use SSML phonetic alphabets with Azure Speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-ssml-phonetic-sets | | Generate Speech service REST clients from Swagger | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/swagger-documentation | | Control text to speech avatar gestures with SSML | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/avatar-gestures-with-ssml | | Implement real-time text-to-speech avatar streaming | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/real-time-synthesis-avatar | | Use Voice Live WebSocket events and properties | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-how-to | ### Deployment | Topic | URL | |-------|-----| | Use Batch synthesis API for long-form text-to-speech | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-synthesis | | Deploy custom speech models and endpoints | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-deploy-model | | Scale Speech containers with batch processing kit | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-batch-processing | | Run custom speech to text containers with Docker | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-cstt | | Deploy and run Speech containers with Docker | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-howto | | Run Speech containers on Kubernetes with Helm | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-howto-on-premises | | Deploy language identification containers with Docker | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-lid | | Deploy neural text to speech containers with Docker | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-ntts | | Deploy speech to text containers for on-premises use | https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-stt |
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Expert knowledge for Azure Virtual Desktop development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with FSLogix profiles, MSIX/App Attach, autoscale/Start VM on Connect, Teams optimization, or SSO/MFA, and other Azure Virtual Desktop related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Dev Box (use azure-dev-box).
azure-video-indexer
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Video Indexer APIs/widgets, live camera indexing, custom speech/brand models, or Azure OpenAI integrations, and other Azure AI Video Indexer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Vision (use azure-ai-vision).