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Build open-source frontier voice AI together with VibeVoice.
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VibeVoice
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VibeVoice is an open-source frontier voice AI framework for long-form speech recognition and realtime text-to-speech, with multilingual support and structured transcription. It integrates with Transformers and vLLM, offering model weights, finetuning pipelines, and demos for researchers and developers building advanced speech experiences.
What to expect from an ideal product
- VibeVoice provides ready-to-use model weights and finetuning pipelines that work directly with Transformers, letting you customize speech models for your specific use case without starting from scratch
- The framework comes with built-in vLLM integration for faster inference speeds, making it practical to deploy custom speech models in production environments where response time matters
- You get access to multilingual training data and pre-configured pipelines that help you finetune models for different languages and accents using standard Transformers workflows
- VibeVoice includes structured transcription capabilities that you can enhance through finetuning, allowing you to train models that understand domain-specific terminology and speaking patterns
- The open-source codebase provides working examples and demos showing exactly how to combine Transformers finetuning with vLLM deployment for both speech recognition and text-to-speech applications
