Skip to content

junaedifahmi/speaker-id

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

Speaker Identification Using PyTorch

Data

The data used in this experiments is from Voxceleb Dataset. Among all the speaker present, I chose 100 speaker randomly, and take their voices within 5 minutes duration each. Then, the data is processed with turning them to MFCC coefficients.

Method

The raw data, then we extract using MFCC method with 40 dimensions coefficients. After that, we just throw it in the neural network. The training scheme is just like another training scheme. We made an iteration with 100 epo

Result

Image description

About

Speaker Identification using PyTorch

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published