Takes audio as input and returns computed features as a dataframe
Project description
AudioFeaturizer
AudioFeaturizer is a python package that uses librosa under the hood and extracts features from audio and returns it into a pandas dataframe. It also has a spectrogram generation function which generates spectrogram of the audio file path which is passed.
Installation
You can install the AudioFeaturizer from PyPI:
pip install AudioFeaturizer
The reader is supported on Python 3.7 and above.
How to Use
For extracting features
>>> from audio_feature.audio_featurizer import *
>>> audio_process(r'D:\PYTHON_FILES\audio-ml\genres\classical\classical.00000.wav')
chroma_stft rmse spectral_centroid spectral_bandwidth ... mfcc17 mfcc18 mfcc19 mfcc20
0 0.252391 0.036255 1505.299012 1558.952849 ... -0.303796 1.778557 0.890328 -0.837884
[1 rows x 26 columns]
>>>
for displaying spectrogram
from audio_feature.audio_featurizer import *
spectrogram_plot(r'D:\PYTHON_FILES\audio-ml\genres\classical\classical.00000.wav')
Project details
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