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Welcome to python_speech_features's documentation!

This library provides common speech features for ASR including MFCCs and filterbank energies. If you are not sure what MFCCs are, and would like to know more have a look at this MFCC tutorial:

You will need numpy and scipy to run these files. The code for this project is available at .

Supported features:

To use MFCC features:

from python_speech_features import mfcc
from python_speech_features import logfbank
import as wav

(rate,sig) ="file.wav")
mfcc_feat = mfcc(sig,rate)
fbank_feat = logfbank(sig,rate)


From here you can write the features to a file etc.

Functions provided in python_speech_features module

.. automodule:: python_speech_features.base

Functions provided in sigproc module

.. automodule:: python_speech_features.sigproc

Indices and tables

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