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Emotion Recognition through Speech

Akshay S. Utane, S. L. Nalbalwar Published in Speech Recognition

IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ncipet1306
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  1. Akshay S Utane and S L Nalbalwar. Article: EMOTION RECOGNITION through SPEECH. IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) NCIPET(1):5-8, November 2013. BibTeX

    @article{key:article,
    	author = "Akshay S. Utane and S. L. Nalbalwar",
    	title = "Article: EMOTION RECOGNITION through SPEECH",
    	journal = "IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)",
    	year = 2013,
    	volume = "NCIPET",
    	number = 1,
    	pages = "5-8",
    	month = "November",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

In last two decades automatic emotion recognition based on speech become wide area of research for human-machine communication. Many systems has been implemented to recognize emotion in speech signals. In this paper previously implemented speech emotion recognition systems has been reviewed using various types of classifiers. The classifiers used to distinguish emotions such as neutral ,surprise ,anger ,happy, sad, fearful, disgust ,etc. emotional speech samples are used as database for emotion recognition from speech and extracted features from speech samples are prosodic and spectral features such as pitch, energy, formants, speech rate ,(MFCC) Mel frequency cepstrum coefficient and linear prediction cepstrum coefficient (LPCC). the performance of classifiers represented by extracted features. Advantages and performance of speech emotion recognition system using different types of classifiers are also discussed.

Reference

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Keywords

Emotion recognition, Feature extraction, Feature Selection, spectral features , prosodic features, Classifier.