An Open-Source Audio Model From Microsoft That Does Too Much…

Microsoft open-sourced VibeVoice, a powerful audio AI stack that handles text-to-speech (TTS), speech-to-text (ASR), and even voice cloning, all running locally, without a cloud API or subscription. In this video, I break down what VibeVoice actually does, demo it across multiple real-world scenarios, and show where it’s good and where it still breaks. 🔗 Relevant Links Microsoft Docs - https://microsoft.github.io/VibeVoice/ VibeVoice Repo - https://github.com/microsoft/VibeVoice Hugging Face - https://huggingface.co/collections/microsoft/vibevoice ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 00:00 — Microsoft Open-Sources VibeVoice (TTS, ASR, Voice Cloning) 00:36 — Getting Started with VibeVoice 01:02— Long-Form Multi-Speaker Text-to-Speech Demo (Offline) 02:18 — Realtime TTS Demo for Voice Agents (Local Inference) 02:50 — Voice Cloning Demo Using a Simple WAV File 03:40 — VibeVoice Pros: Long-Form Audio, Open Source, Local 05:05 — VibeVoice Cons: Audio Quirks, VRAM Spikes, Limitations 06:10 — VibeVoice vs Chatterbox 06:44 — VibeVoice vs Eleven Labs 06:45 — VibeVoice vs ElevenLabs (Open Source vs Paid APIs) 07:00 — VibeVoice vs Whisper 07:15 — Who Should Actually Use VibeVoice