Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data
نویسندگان
چکیده
منابع مشابه
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification
Whilst snoring itself is usually not harmful to a person’s health, it can be an indication of Obstructive Sleep Apnoea (OSA), a serious sleep-related disorder. As a result, studies into using snoring as acoustic based marker of OSA are gaining in popularity. Motivated by this, the INTERSPEECH 2017 ComParE Snoring sub-challenge requires classification from which areas in the upper airways differ...
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A new method to detect snoring episodes in sleep sound recordings is proposed. Sleep sound segments (i.e., 'sound episodes' or simply 'episodes') are classified as snores and nonsnores according to their subband energy distributions. The similarity of inter- and intra-individual spectral energy distributions motivated the representation of the feature vectors in a lower dimensional space. Episo...
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Enlarged Adenoids is a disease which results in the blockage of air passage of infants. These babies who are infected with adenoids will produce high snoring sounds while they sleep. For children suffering from adenoid, it‟s a heart breaking scene for a parent to see their small innocent baby could sleep only in a sitting position. The sound of snore produced by such babies is too loud, that it...
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ژورنال
عنوان ژورنال: IEEE Journal of Biomedical and Health Informatics
سال: 2020
ISSN: 2168-2194,2168-2208
DOI: 10.1109/jbhi.2019.2907286