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 ...

1Password is a hub for many users’ most sensitive data. It’s not just for passwords, but also secure notes, credit card info, codes, and more. And now, all of that data can be surfaced based on your ...

Popular password management app 1Password today announced a new feature that allows users to assign specific locations to items stored in their vaults, which then appear in the 1Password mobile app ...

YouTube has had quite a monumental year in terms of user engagement, logging in over a billion hours of content streamed daily on TV sets alone. However, the platform ...

WhatsApp is beta testing a feature that lets users share, view, and follow WhatsApp Channels using a quick response code (QR code) code in the app. The feature is currently available to beta testers ...

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

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.