LPC and MFCC Analysis of Assamese Vowel Phonemes
نویسنده
چکیده
A speech signal contains many levels of information. Speech conveys the information about the language being spoken, the emotion, gender, and the identity of the speaker. Features parameters extracted from speech are very useful for speaker recognition as well as speech recognition. In this paper, the features LPC and MFCC are computed of Assamese vowel phonemes which will be helpful to develop Assamese Automatic speaker recognition (ASR) system. We create a small database for eight Assamese vowel phonemes, each phoneme is repeated 10 times, spoken in isolation by 10 speakers of equal number of male and female. Thus our database consists of 800 phonemes. Keywords— Phoneme, Frame, LPC, LPCC, MFCC
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework
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