How to build an open-source voice AI framework with long-form speech recognition capabilities

How to build an open-source voice AI framework with long-form speech recognition capabilities

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VibeVo

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.

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What to expect from an ideal product

  1. Provides pre-trained model weights and neural network architectures specifically designed for processing long speech recordings without losing accuracy over time
  2. Includes ready-to-use training pipelines that let you fine-tune speech recognition models on your own audio datasets and specific vocabulary
  3. Offers direct integration with popular machine learning libraries like Transformers and vLLM so you can build on existing tools instead of starting from scratch
  4. Delivers real-time processing capabilities that can transcribe speech as it happens, making it suitable for live applications like meetings or streaming
  5. Supports multiple languages out of the box and provides structured output formatting, so you get organized transcripts rather than just raw text dumps

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