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 ...

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 ...

Locker codes have always been a valuable aspect of the NBA 2K franchise, offering players exciting opportunities to unlock exclusive content, player cards, and other valuable rewards. In NBA 2K25, ...

Low-code, combined with advanced AI, continues to rewrite the book on how software is built—empowering both developers and non-developers to create applications with minimal (if any) hand-coding.

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: 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 ...

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.