After completing a degree in Film, Television, and Cultural Studies at Manchester Metropolitan University, I decided to pursue my love of writing and video games by entering the world of video game ...

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.

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 ...

Did you know that punching select numbers on your cellphone can give you access to hidden features? Sometimes referred to as "secret codes," these numbers are actually diagnostic codes that you can ...

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: Feature parameters extraction is critical for speaker recognition research. The paper presents the function of pitch, formant and Mel frequency central coefficient (MFCC) in speaker ...

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.