A Siamese Neural Network Based Method for Lineage Determination of Speech Samples for Forensic Applications

Published: 10 November 2025| Version 3 | DOI: 10.17632/w44p2zcwt8.3
Contributor:
ABHINAV SINGH

Description

The research is designed to build a Siamese Neural Network to determine the lineal relationship between speech samples. For this research, the TIMIT Acoustic-Phonetics continuous speech corpus was obtained under a data scholarship from Linguistic Data Consortium. The speech samples in TIMIT dataset where further modified using mathematical functions, and processed for Mel Frequency Cepstral Coefficients (MFCCs) extraction. Hence, our dataset consists of normal and frequency distorted dataset.

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Institutions

  • Sharda University

Categories

Acoustics, Forensic Analysis, Audio Analysis, Acoustic Signal Processing, Siamese Neural Network

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