Skip to content

This repository consists of the IPython Notebook for the work related to audio processing and implementing convolution neural networks for the speech classification. The dataset use for this task belongs to google brain when they hosted the competition on Kaggle. The name of the challenge was TensorFlow Speech Recognition Challenge.

Notifications You must be signed in to change notification settings

TatjanaChernenko/AUDIO-PREOCESSING-AND-SPEECH-CLASSIFICATION

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

AUDIO-PREOCESSING-AND-SPEECH-CLASSIFICATION

This repository consists of the IPython Notebook for the work related to audio processing and implementing convolution neural networks for the speech classification. The dataset use for this task belongs to google brain when they hosted the competition on Kaggle. The name of the challenge was TensorFlow Speech Recognition Challenge.

Also the weigths file for the laready trained model is also been included.

About

This repository consists of the IPython Notebook for the work related to audio processing and implementing convolution neural networks for the speech classification. The dataset use for this task belongs to google brain when they hosted the competition on Kaggle. The name of the challenge was TensorFlow Speech Recognition Challenge.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%