Voice recognition system that distinguishes both user identity and voice content.
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Updated
Oct 24, 2017 - MATLAB
Voice recognition system that distinguishes both user identity and voice content.
Using MFCC features on Speech Signals to classify Digits after matching templates by DTW. Course project at IIT Guwahati.
infrasonic acoustic/ elephant rumble detection using MFCC coefficients
Homework of the course 'Speech Signal Process'. Using a traditional algorithms: DTW, succeeded in recognizing chinese number from 0 to 9, with the accuracy of about 95%.
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