Cyber Times International Journal of Technology & Management

Speech recognition is vast and important area used in Speech / Telephone / Communication sector. Many applications are developed for education and daily life; for example second language learning, education of blind or low vision. In this paper, comparison between Cochlear Filter Bank (CFB) and MFCC feature extraction of single utterance is explored. The utterance is nothing but a smallest unit of speech. The 20 trails of single utterances of each user from 10 male and 10 female users are collected and compared.