Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
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Updated
Apr 21, 2021 - Jupyter Notebook
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
Simple numpy-based implementation of SpecAugment
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
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
Tensor2tensor experiment with SpecAugment
fast SpecAugmentation code with numpy and scipy
tf 2.0 implementation of Listen, attend and spell
End-to-end speech recognition on AISHELL dataset.
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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