Detecting Emotions Through Pitch and Formants for South Kamrupi Dialect of Assamese Language
Ranjan Das1, Uzzal Sharma2
1Ranjan Das, Department of Computer Science & Engineering, School of Engineering, Assam Don Bosco Univeristy, Guwahati, Assam, India
2Uzzal Sharma, Department of Computer Science & Engineering, School of Engineering, Assam Don Bosco Univeristy, Guwahati, Assam, India
Manuscript received on 24 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 833-836 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7627078919/19©BEIESP | DOI: 10.35940/ijitee.I7627.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Index Terms: Automatic Speech Recognition (ASR), Emotion Detection, Pitch, Cepstrum, Formants.
Scope of the Article: Pattern Recognition