Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Mahesha, Parashivamurthy
Unknown Affiliation
Computer Science & IT Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Semi-automatic voice comparison approach using spiking neural network for forensics Siddanakatte Gopalaiah, Kruthika; Chandrakant Nagavi, Trisiladevi; Mahesha, Parashivamurthy
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp2689-2700

Abstract

This paper explores the application of a semi-automatic technique using spiking neural network (SNN) approach for forensic voice comparison (FVC), addressing the limitations of traditional methods that are time-consuming and subjective. By integrating machine learning with human expertise, the SNN, which mimics the brain’s processing of temporal information, is applied to analyze Australian English voice data in .flac format. The model leverages synaptic connection strengths modified by spike timing, allowing for flexible voice feature representation. Performance metrics, including confusion matrices and receiver operating characteristic (ROC) analysis, indicate the model’s accuracy of 94.21%, highlighting the effectiveness of the SNN-based approach for FVC.
Co-Authors Chandrakant Nagavi, Trisiladevi Siddanakatte Gopalaiah, Kruthika