期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：2
DOI：10.15680/ijircce.2015.0302056
出版社：S&S Publications
摘要：The study performs feature extraction for isolated word recognition using Mel-Frequency CepstralCoefficient (MFCC) for Gujarati language. It explains feature extraction methods MFCC and Linear Predictive Coding(LPC) in brief. The paper compares the performances of MFCC and LPC features under Vector Quantization (VQ)method. The dataset comprising of males and females voices were trained and tested where each word has beenrepeated 5 times by the speakers. The results show that MFCC is performed better feature extractor for speech signals.
