audio-classification-features 2.0

Complete Package for Audio Classification

Audio Classification Features

It is made to extract the features from any audio dataset. User's have to provide location of the dataset folder and this library will produce x and y npy files. We also provide custom built Keras model for training.

Installation

$ pip install audio_classification_features

Usage

Making Training Dataset

from audio_classification_features import audio_features as af
af().extractor('dataset')

These npy files are loaded with numpy using following commands:

import numpy
x=np.load('x.npy')
y=np.load('y.npy')

Training Custom Built Model

#input_shape generated by this package is of shape (9,13,1)
input_shape=(9,13,1)

Making Predictions

from audio_classification_features import audio_features as af

#filename example: audio_test.wav
#num_classes same as above 
#model

af().make_prediction(filename,num_classes,model)

Dataset Structure

folder name of audio will be used as label.

• dataset
  • audio class 1
    • audiofile.wav
  • audio class 2
    • audiofile.wav

LICENSE

GNU General Public License v3.0