XSpeech: A Novel Deep Learning Approach to Classifying Stutters
-
Updated
May 11, 2024 - Jupyter Notebook
XSpeech: A Novel Deep Learning Approach to Classifying Stutters
Simple numpy-based implementation of SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Performs data augmentation as according to the SpecAugment paper. Modified from Lingvo (TensorFlow > 1.10.0).
End-to-end speech recognition on AISHELL dataset.
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.
tf 2.0 implementation of Listen, attend and spell
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
fast SpecAugmentation code with numpy and scipy
Tensor2tensor experiment with SpecAugment
Add a description, image, and links to the specaugment topic page so that developers can more easily learn about it.
To associate your repository with the specaugment topic, visit your repo's landing page and select "manage topics."