ryhorv/tf-flowavenet
Tensorflow implementation of "FloWaveNet: A Generative Flow for Raw Audio"
This helps generate natural-sounding speech from text. It takes a dataset of recorded speech and corresponding text transcripts, then produces a trained model that can synthesize new audio speech from arbitrary text input. This is valuable for developers creating applications that require high-quality, artificial voice output.
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Use this if you are a developer working with TensorFlow and need to implement a generative model for raw audio, such as for a text-to-speech system.
Not ideal if you are looking for a ready-to-use speech synthesis application or a tool that doesn't require programming knowledge.
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Jupyter Notebook
License
MIT
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Last pushed
Apr 19, 2019
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