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Detecting Emotions through Pitch and Formants for South Kamrupi Dialect of Assamese Language
Author(s) -
Ranjan Das,
Uzzal Sharma
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7627.078919
Subject(s) - formant , assamese , speech recognition , computer science , speech processing , feature (linguistics) , linguistics , vowel , philosophy
Speech is a form of voice signal that propagates through atmosphere and human beings communicate primarily through the exchange of speech. Along with their thoughts, human also expresses their emotions while communicating through the speech. Spoken dialects are the most native forms of speech communication and emotion is expressed very effectively through it. Speech is digitized to use it for speech processing. The speech processing task mostly comprises of feature extraction and pattern recognition. Pitch and Formants are two most fundamental speech features through which emotions can be modeled. Modeling emotion is a pattern matching task. This paper describes a successful empirical study of Pitch and Formants based emotion recognition system on the widely spoken, colloquial South Kamrupi dialect of Assamese language.

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