Simple numpy-based implementation of SpecAugment
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Updated
Sep 25, 2023 - Python
Simple numpy-based implementation of SpecAugment
Performs data augmentation as according to the SpecAugment paper. Modified from Lingvo (TensorFlow > 1.10.0).
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
XSpeech: A Novel Deep Learning Approach to Classifying Stutters
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
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
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
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