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ShintaKirana
Panting's Notes Detection using Compressive Sensing, MFCC, and SVM
Machine Learning and Speech Signal Recognition project for Undergraduate Thesis
Tools
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Python Programming Language
applied for the program code

Google Colaboratory
used as the python IDE
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Microsoft Excel
used for recapitulating the results and visualizing it into graphs
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Microsoft Word
used for setting down the process and results into a book

Microsoft Powerpoint
used for creating project presentation slides
Methods
Compressive Sensing
employed to compress
the audio signal
MFCC
applied to extract the
feature of audio signal
SVM
as a machine learning
method
Presentation Slides
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