Skip to content

A keras layer implementation of Peddinti's paper "A time delay neural network architecture for efficient modeling of long temporal contexts". [Work in progress]

License

Notifications You must be signed in to change notification settings

findnitai/TDNN-layer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TDNN

A keras implementation of Peddinti's paper "A time delay neural network architecture for efficient modeling of long temporal contexts". [Work in progress]

Using this layer

Add TDNN_layer.py to your project and include TDNN_layer. Then, use TDNN_layer as a Keras layer.

See demo.py for usage example. The file demo.py implements the network described in Peddiniti's paper.

Performances

The file demo.py implements the network described in Peddiniti's paper "A time delay neural network architecture for efficient modeling of long temporal contexts". I trained the neural network on libri speetch dataset. [Still in progress]

About

A keras layer implementation of Peddinti's paper "A time delay neural network architecture for efficient modeling of long temporal contexts". [Work in progress]

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages