A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
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Updated
Apr 5, 2022 - Python
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
tf 2.0 implementation of Listen, attend and spell
fast SpecAugmentation code with numpy and scipy
End-to-end speech recognition on AISHELL dataset.
Tensor2tensor experiment with SpecAugment
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
Simple numpy-based implementation of SpecAugment
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).
XSpeech: A Novel Deep Learning Approach to Classifying Stutters
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