Open AccessAcoustic comparison of electronics disguised voice using Different semitones
Author(s) -
Mahesh K. Singh,
Amarjot Singh,
Narendra Singh
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.16.11502
Subject(s) - semitone , mel frequency cepstrum , speech recognition , support vector machine , classifier (uml) , decision tree , feature (linguistics) , pattern recognition (psychology) , computer science , identification (biology) , feature vector , feature extraction , artificial intelligence , linguistics , philosophy , botany , biology
This paper emphasizes an algorithm that is based on acoustic analysis of electronics disguised voice. Proposed work is given a comparative analysis of all acoustic feature and its statistical coefficients. Acoustic features are computed by Mel-frequency cepstral coefficients (MFCC) method and compare with a normal voice and disguised voice by different semitones. All acoustic features passed through the feature based classifier and detected the identification rate of all type of electronically disguised voice. There are two types of support vector machine (SVM) and decision tree (DT) classifiers are used for speaker identification in terms of classification efficiency of electronically disguised voice by different semitones.