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Listening to the forest: An AI innovator’s mission to protect humans and wildlife

By Atharva Agrawal Growing up in the Tiger Capital of India, Nagpur, a city surrounded by some of the country’s most eminent ...
Frontiers

Noninvasive prescreening of pediatric adenoid hypertrophy using quantified MFCC statistics and clinical features: development and external validation

Background: Adenoid hypertrophy (AH) is a leading cause of pediatric obstructive sleep apnea, yet first-line diagnostics are invasive or resource-intensive. We developed and externally tested a ...
IEEE

Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection

Abstract: Deepfake voice refers to artificially generated or manipulated audio that mimics a person’s voice, often created using advanced AI techniques. These synthetic voices can be used to ...
IEEE

Research on Speaker Recognition Based on LPCMCC and PSRCC Fusion Features

Abstract: Mel frequency cepstral coefficient (MFCC) is an important feature in speech speaker recognition, and many people like to use MFCC and neural network algorithms to form speaker recognition ...