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azure-speechAzure speech 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-speech(Azure speech 部署)
来源仓库:https://github.com/microsoftdocs/agent-skills
仓库路径:skills/azure-speech
安装命令:
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-speech

简介

提供 Azure AI Speech 服务的集成与优化指导,涵盖语音识别与合成。

  • 适用于构建语音助手、会议转录或文本转语音播报等智能交互产品。
  • 协助选择语言模型、优化声学参数并处理长音频分段上传逻辑。
  • 需申请 Speech 资源并获取密钥,注意免费额度有限,生产环境应启用身份验证。
  • azure-speech 属于云服务类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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

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

CategoryLinesDescription
TroubleshootingL37-L47Diagnosing 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 PracticesL48-L64Best 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 MakingL65-L82Guidance on choosing speech features (batch STT, custom/embedded/personal/Whisper), evaluating models/devices, and step‑by‑step migration between Speech API versions and services
Architecture & Design PatternsL83-L87Architectural 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 & QuotasL88-L96Quotas, limits, and usage patterns for Azure Speech: batch TTS, custom/pro voice training & deployment, and short audio STT, plus throttling and capacity planning guidance.
SecurityL97-L108Configuring security for Azure AI Speech: auth (Entra, RBAC), network isolation (VNet, Private Link, sovereign clouds), BYOS storage, encryption/keys, and voice talent consent management.
ConfigurationL109-L143Configuring 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 PatternsL144-L168Patterns and APIs for integrating Azure Speech into apps and voice agents: telephony, SDK/REST, TTS/avatars, translation, OpenAI/Foundry, Voice Live, consent, and automation workflows.
DeploymentL169-L180Deploying 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

Best Practices

TopicURL
Prepare and locate audio data for batch transcriptionhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-audio-data
Create high-quality human-labeled speech transcriptionshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-human-labeled-transcriptions
Prepare training data for professional custom voicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-voice-training-data
Apply best practices to reduce Speech synthesis latencyhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-lower-speech-synthesis-latency
Track and manage Azure Speech SDK memory usagehttps://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 Livehttps://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 gapshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-interim-response
Improve speech recognition with phrase listshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/improve-accuracy-phrase-list
Apply keyword recognition design and accuracy guidelineshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/keyword-recognition-guidelines
Record high-quality samples for custom voice traininghttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/record-custom-voice-samples
Back up and recover custom Speech and Voice resourceshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/resiliency-and-recovery-plan
Design microphone arrays optimized for Speech SDKhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-sdk-microphone
Prepare high-quality video samples for custom avatarshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/custom-avatar-record-video-samples

Decision Making

TopicURL
Plan large-scale transcription with batch processinghttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription
Evaluate custom voice lite before professional voicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/custom-neural-voice-lite
Choose Embedded Speech for offline and hybrid scenarioshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/embedded-speech
Evaluate device suitability for embedded speech modelshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/embedded-speech-performance-evaluations
Evaluate and compare custom speech model accuracyhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-inspect-data
Migrate Speech to text REST API from v3.2 to 2024-11-15https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-2024-11-15
Migrate Speech to text REST API from 2024-11-15 to 2025-10-15https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-2025-10-15
Migrate from retired Speech intent recognition to Language or OpenAIhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-intent-recognition
Migrate from Long Audio API to Batch synthesishttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-batch-synthesis
Migrate from v3 text-to-speech to custom voice REST APIhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-to-custom-voice-api
Migrate Speech-to-text REST from v3.0 to v3.1https://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 v3.2https://learn.microsoft.com/en-us/azure/ai-services/speech-service/migrate-v3-1-to-v3-2
Assess capabilities and regions for personal voicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-overview
Decide when to use Whisper for speech taskshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/whisper-overview

Architecture & Design Patterns

TopicURL
Design call center voice agents with Voice Live and ACShttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-telephony

Limits & Quotas

Security

Configuration

TopicURL
Configure Batch synthesis properties for text-to-speechhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-synthesis-properties
Check status and retrieve batch transcription resultshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/batch-transcription-get
Configure BYOS storage for Speech to texthttps://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 texthttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/customize-pronunciation
Configure OpenSSL on Linux for Azure Speech SDKhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-configure-openssl-linux
Control and monitor Speech SDK service connectionshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-control-connections
Create and manage custom speech fine-tuning projectshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-create-project
Prepare and upload datasets for custom speech traininghttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-upload-data
Configure post-processing options for Speech recognitionhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-post-processing
Configure real-time speech recognition inputs and optionshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-recognize-speech
Select and configure audio input devices in Speech SDKhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-select-audio-input-devices
Use visemes for facial animation with Speech servicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech-synthesis-viseme
Configure Speech SDK audio input streamshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-audio-input-streams
Configure compressed audio input for Speech SDK and CLIhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-codec-compressed-audio-input-streams
Enable and configure Speech SDK diagnostic logginghttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-use-logging
Check Azure Speech language and voice availabilityhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support
Configure audio and transcription logging for Speech recognitionhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/logging-audio-transcription
Upload and validate training datasets for professional voicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create-training-set
Use correct regional endpoints for Azure Speechhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/regions
Configure Speech containers storage, logging, and securityhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-configuration
Control speech output using SSML configurationhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup
Configure pronunciation with SSML phonemes and lexiconshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-pronunciation
Structure SSML documents and events for Speechhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-structure
Configure voice and sound using SSML in Speechhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup-voice
Configure Speech CLI datastore search order and fileshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/spx-data-store-configuration
Configure output destinations for Speech CLI resultshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/spx-output-options
Configure batch synthesis properties for TTS avatarshttps://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 modelshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-how-to-customize
Configure language and locale for Voice Live APIhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-language-support

Integrations & Coding Patterns

TopicURL
Integrate Speech service with call center telephonyhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/call-center-telephony-integration
Call Azure Speech fast transcription API in Foundryhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/fast-transcription-create
Use Speech SDK APIs to handle recognition resultshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/get-speech-recognition-results
Integrate custom models with Voice Live BYOMhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-bring-your-own-model
Implement text-to-speech synthesis with Speech SDKhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech-synthesis
Implement speech translation with Azure Speech SDKhttps://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 Servicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-agent-integration
Connect MCP servers to Azure Voice Live sessionshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-mcp-server
Add proactive greetings to Voice Live agentshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-voice-live-proactive-messages
Call the LLM-speech API for transcription and translationhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/llm-speech
Integrate Azure Speech with Azure OpenAI chathttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/openai-speech
Add and manage user consent for personal voicehttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-create-consent
Create personal voice projects via Custom Voice APIhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/personal-voice-create-project
Use Power Automate connector for Speech batch transcriptionhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/power-automate-batch-transcription
Use Speech to text REST API endpoints and parametershttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-speech-to-text
Call Text-to-speech REST API for voice synthesishttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/rest-text-to-speech
Use SSML phonetic alphabets with Azure Speechhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-ssml-phonetic-sets
Generate Speech service REST clients from Swaggerhttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/swagger-documentation
Control text to speech avatar gestures with SSMLhttps://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 streaminghttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/text-to-speech-avatar/real-time-synthesis-avatar
Use Voice Live WebSocket events and propertieshttps://learn.microsoft.com/en-us/azure/ai-services/speech-service/voice-live-how-to

Deployment

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

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