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：3
DOI：10.15680/ijircce.2015.0303078
出版社：S&S Publications
摘要：India is a multilingual country where 29 individual languages as having more than 1 million nativespeakers. Hindi & English are the official languages of the Republic of India. Hindi is the most widely spoken languagein India. Every language has its own sound structure, grammar syntax and intonation pattern, which makes it unique.Speech is a vocalized form of human language and it is a primary means of communication between people. The accentis a significant component of any speech. An accent is the way that particular person or group of people pronouncewords or sounds. It typically differs in the tone of voice, pronunciation and distinction of vowels, consonants, stress andprosody. The purpose of this research is to determine the impact of Hindi language on other Indian languages likeMarathi, Marwadi and Urdu Language with accent and some other features. It uses Mel Frequency CepstralCoefficients (MFCC), Linear Productive Coding (LPC) to extract speech features from four different language groups,fundamental frequency Formant (F0) and energy feature vectors are used to examine the difference between languagegroups. This experiment tested on a database having 10 Hindi sentences which are let out by native speakers of Hindi,Marwadi, Marathi and Urdu. The observation from experiment indicates that both techniques give accurate andidentical outcome. F0 and Energy parameter are founded effective in Urdu Dataset.
关键词：Language; Accent Identification; Hindi; Marwadi; Marathi; Urdu; Mel Frequency Cepstral;Coefficients; Linear Productive Coding; F0; Energy
