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 ...

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Over the past few years, Apple has been leaning more into pushing the pricey “Pro” iPhones as a creative person’s best friend. Some of the marketing claims don’t sound that outlandish. For example, ...

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 ...

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 ...

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 ...