🧠 Model

VibeVoice-1.5B

by microsoft

--- language: - en - zh license: mit pipeline_tag: text-to-speech tags: - Podcast library_name: transformers --- VibeVoice is a novel framework designed for gen

πŸ• Updated 12/19/2025

🧠 Architecture Explorer

Neural network architecture

1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer

About

VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking. A core innovation of VibeVoice is its use of continuous speech tokenizers (Acoustic a...

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • β€’ Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/microsoft/VibeVoice-1.5B","fetched_at":"2025-12-19T07:41:01.175Z","adapter_version":"3.2.0"}]

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