N. K. Kaphungkui

A CLOSE-SET MULTI-SPEAKER IDENTIFICATION via LIGHTWEIGHT CNN ARCHITECTURES LEVERAGING MFCC-DERIVED SPECTRAL FEATURES

Speaker identification is an important task in speech processing, with applications in security, authentication, forensics, and personalised human–computer interaction. This study presents a lightweight convolutional neural network (CNN)-based system for close-set identification of 40 speakers using Mel-Frequency Cepst...