Speech Distorted Dataset

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.