Classification of Disorders in Vocal Folds Using Electroglottographic Signal

Tanumay Mandal, K. Sreenivasa Rao and Sanjay Kumar Gupta

Abstract:

The main objective of this paper is to accurately classify the pathological voice based on the disorders in vocal folds. For this purpose, we have explored the phase of Electroglottographic (EGG) signal which carries significant information related to characteristics of vocal folds. Four important parameters, namely, close quotient, open quotient, average pitch period and jitter computed from the phase of the EGG signal have been explored for discriminating the patients based on the disorder in their vocal folds. These parameters have been used for classification of three types of vocal folds disorders: vocal nodules, vocal polyps and laryngitis. In this study, we have used the EGG signals of seventy-nine patients having disorders in vocal folds, collected from hospital. The database contains the simultaneous recording of speech and EGG signals of four vowel (‘a’,‘e’,‘o’,‘u’) utterances. The experimental result shows that the proposed features extracted from phase, performed well in classification of patients according to the disorder in their vocal folds.

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Cite as: Mandal, T., Rao, K.S., Gupta, S.K. (2018) Classification of Disorders in Vocal Folds Using Electroglottographic Signal. Proc. Interspeech 2018, 3002-3006, DOI: 10.21437/Interspeech.2018-1967.

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BiBTeX Entry:

@inproceedings{Mandal2018,
author={Tanumay Mandal and K. Sreenivasa Rao and Sanjay Kumar Gupta},
title={Classification of Disorders in Vocal Folds Using Electroglottographic Signal},
year=2018,
booktitle={Proc. Interspeech 2018},
pages={3002--3006},
doi={10.21437/Interspeech.2018-1967},
url={http://dx.doi.org/10.21437/Interspeech.2018-1967} }