ABSTRACT: An algorithm involving Mel-Frequency Cepstral Coefficients (MFCCs) is provided to perform signal feature extraction for the task of speaker accent recognition. Then different classifiers are ...

The medical documents and patient files are the most important documents concerning the insurance sector. Besides, manual handling and copying are time-consuming processes that take up countless ...

Chris Hemsworth isn't the only one who got to have fun on-screen in Extraction 2. Director Sam Hargrave may not be the one playing action hero Tyler Rake and getting set on fire for an epic 21-minute ...

Erick Massoto is a Brazilian writer who's always loved film and TV and loves finding connections between them. That's why he supports double features, especially if they are of a modern film paired ...

You’re backing out of a tricky parking spot when a beep beep beep warns there’s a car approaching. Or you’re about to change lanes when a flashing light gives ...

stm32-speech-recognition-and-traduction is a project developed for the Advances in Operating Systems exam at the University of Milan (academic year 2020-2021). It implements a speech recognition and ...

Voice Activity Detection and signal segmentation in time windows. Feature extraction in time and frequency domain. Classification in ten individual speakers.

ABSTRACT: An algorithm involving Mel-Frequency Cepstral Coefficients (MFCCs) is provided to perform signal feature extraction for the task of speaker accent recognition. Then different classifiers are ...

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: The Mel-Frequency Cepstral Coefficients (MFCC) feature extraction method is a leading approach for speech feature extraction and current research aims to identify performance enhancements.