Frontiers

fNIRS-based early identification of mild cognitive impairment: a large-scale multi-paradigm study with ensemble machine learning models

Early and accurate identification of mild cognitive impairment (MCI) is crucial for timely intervention and preventing further cognitive decline. Functional near-infrared spectroscopy (fNIRS) is a non ...
The New York Times

48 Hours Without A.I.

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
IEEE

Speaker Recognition Based on Machine Learning Classifiers for Parent and Child Speaker Diarization

Abstract: In this study, we present speaker recognition methods based on multi-layer perceptron (MLP), support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN). By standardizing ...
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 ...