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A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Tensor2tensor experiment with SpecAugment
fast SpecAugmentation code with numpy and scipy
End-to-end speech recognition on AISHELL dataset.
tf 2.0 implementation of Listen, attend and spell
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
Performs data augmentation as according to the SpecAugment paper. Modified from Lingvo (TensorFlow > 1.10.0).