Tensor2tensor experiment with SpecAugment
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Updated
May 13, 2019 - Python
Tensor2tensor experiment with SpecAugment
fast SpecAugmentation code with numpy and scipy
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
tf 2.0 implementation of Listen, attend and spell
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
End-to-end speech recognition on AISHELL dataset.
Performs data augmentation as according to the SpecAugment paper. Modified from Lingvo (TensorFlow > 1.10.0).
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Simple numpy-based implementation of SpecAugment
XSpeech: A Novel Deep Learning Approach to Classifying Stutters
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