The data augment method used for 40h training dataset better than 500h

breizhn / DTLN

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

MIT License

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Open GatsbyChen opened 3 years ago

GatsbyChen commented 3 years ago

Hi! I want to know what data augment method you used in 40h training dataset to achieve better performance than 500h training dataset