Scientific American

AI techniques speed up forensic analysis of crucial crime scene larvae

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

‘Unstoppable: Preparing for the Long Game’ Brings Leaders Together to Address the Growing Challenges in Youth Sports

Parents, athletes and community leaders meet April 3rd in Arizona to address the rising costs, pressures, and health ...
Tech Xplore

AI text-to-speech gives Manx a digital voice as speakers fall to 2,200

With only 2,200 people still speaking the Manx language, Chris Bartley is using AI text-to-speech systems to protect and showcase the heritage of endangered languages. Bartley, a School of Computer ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

InsightFinder AI Launches ARI, an Operational Reliability Agent Built for the AI Era

ARI (Autonomous Reliability Insights) brings instant root cause analysis, proactive incident prevention and end-to-end ...
Scientific Research Publishing

Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning Systems ()

The context of inclusive education for blind people lacks suitable learning materials and traditional devices are difficult to expand, creating a need for a personalized technological solution. This ...
GitHub

Speaker Identification Using Pitch and MFCC Features

This MATLAB project implements a speaker identification system using audio features including Mel-Frequency Cepstral Coefficients (MFCC) and pitch characteristics. The system classifies speakers into ...
IEEE

Speaker Identification Using Deep Learning Models for Enhanced Voice Biometrics

Abstract: The goal of this project is to create a sophisticated voice recognition system that accurately recognizes and categorizes spoken data by applying machine learning and audio processing ...