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A dual source-filter model of snore audio for snorer group classification

Achuth Rao, MV and Yadav, S and Ghosh, PK (2017) A dual source-filter model of snore audio for snorer group classification. In: 18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017, 20 - 24 August 2017, Stockholm, pp. 3502-3506.

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Official URL: https://doi.org/10.21437/Interspeech.2017-1211


Snoring is a common symptom of serious chronic disease known as obstructive sleep apnea (OSA). Knowledge about the location of obstruction site (V-Velum, O-Oropharyngeal lateral walls, T-Tongue, E-Epiglottis) in the upper airways is necessary for proper surgical treatment. In this paper we propose a dual source-filter model similar to the source-filter model of speech to approximate the generation process of snore audio. The first filter models the vocal tract from lungs to the point of obstruction with white noise excitation from the lungs. The second filter models the vocal tract from the obstruction point to the lips/nose with impulse train excitation which represents vibrations at the point of obstruction. The filter coefficients are estimated using the closed and open phases of the snore beat cycle. VOTE classification is done by using SVM classifier and filter coefficients as features. The classification experiments are performed on the development set (283 snore audios) of the MUNICH-PASSAU SNORE SOUND CORPUS (MPSSC).We obtain an unweighted average recall (UAR) of 49.58, which is higher than the INTERSPEECH-2017 snoring sub-challenge baseline technique by -3 (absolute).

Item Type: Conference Paper
Publication: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publisher: International Speech Communication Association
Additional Information: The copyright for this article belongs to the International Speech Communication Association.
Keywords: Bandpass filters; Classification (of information); Sleep research; Speech communication; White noise, Filter coefficients; Group classification; Obstructive sleep apnea; Source filter model of speech; Source-filter models; Sparsity; Surgical treatment; White noise excitation, Speech processing
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Date Deposited: 25 Jul 2022 04:59
Last Modified: 25 Jul 2022 04:59
URI: https://eprints.iisc.ac.in/id/eprint/74708

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