Top 5 Audio Analysis Library for Python : Must for Data Scientist

As a Data Scientist you never know the upcoming stuffs . Right ? The amazing thing of this profession is that you may have to deal with different kind of data formats . Some time it could be text , images or Audio . Yes It could be an audio as well . As a Data Scientist I did not found so many articles on Audio analysis and process library in python . I have documented all my findings this article . This article ” Top 5 Audio Analysis Library for Python : Must for Data Scientist ” will brief you on this topic . Lets start –

Audio Analysis Library for Python-

1.PyAudioAnalysis –

This Python module is really good in Audio Processing stuffs like classification . It supports feature engineering operations for supervised and unsupervised learning stuffs .

Audio Processing Library - pyAudioAnalysis
Audio Processing Library – pyAudioAnalysis

2. Pydub –

It helps to perform various common task in sound processing with python . For example -slicing the sound , concatenating the sound etc .I think you should check it out .


Audio Processing python- Pydub
Audio Processing python- Pydub

3. TimeSide –

It is a well design python framework for Audio Analysis . Specially for labelling , transcoding, streaming etc .It is more popular for audio processing in python with web .


Mutagen –

This is really one of the great python module for audio processing specially tagging ,and meta data extraction . Mutagen also provide command line interface .

Python Audio Processing Library - Mutagen
Python Audio Processing Library – Mutagen

Others –

Truely speaking ! To provide a particular name at this place will be injustice to others Python Audio Processing and Analysis Library . Hence I have decide to create a bucket for this . Here are a list of some more interesting Python Libraries for Audio Processing –


2. audioread

Audio Processing and Machine Learning –

Audio processing is harder with Machine Learning .Actually before sending directly to Machine Learning Platform so many hidden tasks. Which are quite time taking but seems small . Like we have to load the sound . The imported or loaded audio sample may be of some different format . We have to first convert them into the required one. Now the above mention Library comes to the role . Few of them are coming with such features of format conversion .

Now once it is converted into the required format , we have to perform the preprocessing like noise removal and all . After it the last and the most important step comes where we have to extract the feature from the audio sample . Finally it becomes c a typical machine learning stuff after the feature engineering .

Conclusion –

In this article we tried to cover the Audio Processing stuffs with Python Library . You may solve most of Audio processing stuffs using this libraries . So friends I hope this article ” Top 5 Audio Analysis Library for Python : Must for Data Scientist ” , must clear your doubt .Anyways if you want to discuss some more on it , Please write back to us . Audio Processing and Analysis is little different then text and image processing . If you think you may contribute some more on this topic , Data Science Learner’s Team always appreciate such efforts as guest posting .


Data Science Learner Team 


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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages, where he and his team share knowledge and help others learn more about data science.
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