Skip to content
master
Switch branches/tags
Code
This branch is up to date with master.
Contribute

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Sound Analysis

Using LibROSA

LibROSA is a python package for music and audio analysis , it provides the building blocks necessary to create music information retrieval systems .

Description

Out of sound clips provided under training instances , 38 of Mel Frequency cepstral coefficients(.mfcc) are extracted/saved and then comapred with the existing presets .

Content

animals : A test animal sound clip is fed to the program , it detects and prints the name of the animal .

voice : A test human sound clip is fed to the prgram , it detects and prints the gender of the speaker .

music : A test sound piece is fed to the program and it detects which genre of music it is .

Installation

pip3 install numpy
pip3 install scipy

Usage

asciicast

Contributing.md

Note :

  • Here number of training instances were low in reference to time limit provided .

Contributers

About

Sound Analysis using LibROSA

Resources

Releases

No releases published

Packages

No packages published