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# Microsoft Open Sources VibeVoice AI That Can Turn Text into a 90-Minute Podcast
- URL: https://www.theleftshift.com/microsoft-open-sources-vibevoice-ai-that-can-turn-text-into-a-90-minute-podcast/
- Published: 2025-08-28T06:13:00.000Z
- Updated: 2025-08-28T06:13:00.000Z
- Description: Currently, it supports English and Mandarin, but future expansions are expected.
- Author: Pritam Bordoloi 
- Tags: AI Models

Microsoft has[ unveiled](https://microsoft.github.io/VibeVoice/?ref=theleftshift.com) **VibeVoice**, an open-source AI framework capable of generating **90-minute, multi-speaker podcasts** from simple text—now available for anyone to experiment with online or on local PCs.

The concept is similar to [Google’sNotebookLM](https://www.theleftshift.com/google-launches-notebooklm-app-for-android-and-ios/), which also turns text into audio conversations, but VibeVoice offers the added advantage of being **open-source** and customisable.

Currently, VibeVoice supports **English and Mandarin**, but future expansions are expected.

Built to overcome limitations in traditional text-to-speech (TTS) systems, VibeVoice supports up to **four distinct speakers** in a single audio session and handles natural conversational flow with scalable performance. 

"A core innovation of VibeVoice is its use of continuous speech tokenizers (Acoustic and Semantic) operating at an ultra-low frame rate of 7.5 Hz. These tokenizers efficiently preserve audio fidelity while significantly boosting computational efficiency for processing long sequences. 

"VibeVoice employs a next-token diffusion framework, leveraging a Large Language Model (LLM) to understand textual context and dialogue flow, and a diffusion head to generate high-fidelity acoustic details," Microsoft said in a blog post.

The platform comes in multiple model sizes, including a [**1.5B-parameter version**](https://huggingface.co/microsoft/VibeVoice-1.5B?ref=theleftshift.com) with a long 64k context window and a **7B-parameter model** capable of generating up to 45 minutes of audio—both offering compelling audio fidelity.

For creators and developers, VibeVoice's practical usability stands out: it requires just **7 GB of VRAM** for the smaller model or **up to 18 GB** for the larger one, making it feasible even on mid-range GPUs.