podcast-generation
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
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原文涵盖的主题
- Podcast Generation with GPT Realtime Mini
- Quick Start
- Environment Configuration
- Core Workflow
- Backend Audio Generation
- Frontend Audio Playback
- Voice Options
- Realtime API Events
Generate real audio narratives from text content using Azure OpenAI's Realtime API. 1. Configure environment variables for Realtime API 2. Connect via WebSocket to Azure OpenAI Realtime endpoint 3. Send text prompt, collect PCM audio chunks + transcript 4. Convert PCM to WAV format 5. Return base64-encoded audio to frontend for playback Note: Endpoint should NOT include /openai/v1/ - just the base URL. | Voice | Character | |-------|-----------| | alloy | Neutral | | echo | Warm | | fable | Expressive | | onyx | Deep | | nova | Friendly | | shimmer | Clear | response.outputaudio.delta - Base64 audio chunk response.outputaudiotranscript.delta - Transcript text response.done - Generation complete error - Handle with event.error.message Input: Text prompt Output: PCM audio (24kHz, 16-bit, mono) Storage: Base64-encoded WAV Full architecture: See references/architecture.md for complete stack design Code examples: See references/code-examples.md for production patterns PCM conversion: Use scripts/pcmtowav.py for audio format conversion
- 来源仓库
- microsoft/skills
- 源文件
- .github/skills/podcast-generation/SKILL.md
- 固定版本
- 9287b443662d2433c85621c7325ee72a0ce499b5
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