nmeripo / MFCC-music-genre-classification

A Multinomial Logistic Regression model for music genre classification with Mel-frequency cepstral coefficients

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Music Genre Classification

This repository contains:

Multinomial Logistic Regression

  • A tensorflow script (multinomial_logistic_regression.py) to demonstrate learning weights for Multinomial Logistic Regression.

Trainable dataset with MFCC

  • Generates mean mfcc features from audio wav files in pickle dumps (dump_ceps.py).

Audio Conversion

  • A python script (preprocess.py) which converts given au files in GTZANN dataset to wav (uncompressed) format.

About

A Multinomial Logistic Regression model for music genre classification with Mel-frequency cepstral coefficients


Languages

Language:Python 100.0%