feature_extraction_functions.py: a set of feature extraction functions from RDShi-SpeakerCount. MFCC: Mel-frequency cepstral coefficients calculation. MFCC.py, MFCCTest.py: Compute the MFCC feature.
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A machine learning project for automated grammar scoring using audio features. Built for the SHL Grammar Quality dataset, it extracts MFCCs with Librosa and trains models to evaluate spoken grammar ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nucleic acid extraction from clinical specimens is essential for accurate molecular ...
1 Materdicine Lab, School of Life Sciences, Shanghai University, Shanghai, China 2 Research Department, Third Xiangya Hospital of Central South University, Changsha, China Introduction: Depression is ...
Abstract: In this paper, we update our previous research for Mel-Frequency Cepstral Coefficient (MFCC) feature extraction [1] and describe the optimizations required for improving throughput on the ...
Abstract: In this paper, we present an efficient parallel implementation of Mel-frequency Cepstral Coefficient (MFCC)-based feature extraction and describe the optimizations required for effective ...
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