onnx-community/VibeVoice-1.5B-Onnx
text-to-speech model by onnx-community
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Model card & documentation
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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 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. The model can synthesize speech up to 90 minutes long with up to 4 distinct speakers, surpassing the typical 1-2 speaker limits of many prior models. ➡️ Technical Report: VibeVoice Technical Report ➡️ Project Page: microsoft/VibeVoice ➡️ Code: microsoft/VibeVoice-Code Transformer-based Large Language Model (LLM) integrated with specialized acoustic…
Read the full model card ↗ · Preview checked 2026-09-23T08:20:24.326Z
Inside the original model card — Document outline
- VibeVoice: A Frontier Open-Source Text-to-Speech Model
- Training Details
- Models
- Installation and Usage
- Responsible Usage
- Direct intended uses
- Out-of-scope uses
- Risks and limitations
- Recommendations
- Contact
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Model overview
onnx-community/VibeVoice-1.5B-Onnx is a text-to-speech model repository published by onnx-community on Hugging Face. The source reports the onnxruntime library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- onnxruntime
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-23T06:36:57.000Z
- Last modified
- 2026-09-23T06:36:57.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: microsoft/VibeVoice-1.5B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-23T06:37:25.545Z. Daily imports are snapshots, not real-time monitoring.
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