Shypd.aiThe largest open index of AI toolsDeep-voice-conversion is an open-source tool that uses deep neural networks for voice conversion, also known as voice style transfer. It allows users to convert someone's voice to a specific target voice using non-parallel data.
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Deep-voice-conversion is an open-source project implemented in TensorFlow, designed for voice style transfer using deep neural networks. This tool enables users to convert a source voice to a specific target voice, notably demonstrated with the voice of actress Kate Winslet. A key differentiator is its ability to perform voice conversion without requiring parallel data (like source and target voice recordings of the same utterance), relying instead on a collection of target speaker waveforms and a small set of <wav, phone> pairs from anonymous speakers. The architecture comprises two main modules: Net1 for phoneme classification and Net2 for speech synthesis, utilizing CBHG modules for feature extraction from sequential data. It's ideal for researchers and developers interested in advanced voice manipulation techniques.
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