Classification of non-speech human sounds: Feature selection and snoring sound analysis
| العنوان: | Classification of non-speech human sounds: Feature selection and snoring sound analysis |
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| المؤلفون: | Liao, Wen-Hung, Lin, Y.-K., 廖文宏 |
| المساهمون: | 資訊科學系 |
| سنة النشر: | 2009 |
| المجموعة: | National Chengchi University Institutional Repository (NCCUIR) |
| مصطلحات موضوعية: | Acoustic features, Audio classification, Audio signal, Environmental sounds, Extensive simulations, Feature selection, Human sounds, Human speech, Multivariate adaptive regression splines, Obstructive sleep apnea, Scene analysis, Sound analysis, Classification (of information), Cybernetics, Sleep research, Support vector machines, Audio acoustics |
| الوصف: | Human sounds can be roughly divided into two categories: speech and non-speech. Traditional audio scene analysis research puts more emphasis on the classification of audio signals into human speech, music, and environmental sounds. We take a different perspective in this paper. We are mainly interested in the analysis of non-speech human sounds, including laugh, scream, sneeze, and snore. Toward this goal, we investigate many commonly used acoustic features and select useful ones for classification using multivariate adaptive regression splines (MARS) and support vector machine (SVM). To evaluate the robustness of the selected features, we also perform extensive simulations to observe the effect of noise on the accuracy of the classification. Finally, for the class of snoring sounds, we propose a robust approach to further categorize them into simple snores and snores of subjects with obstructive sleep apnea (OSA). ©2009 IEEE. |
| نوع الوثيقة: | other/unknown material |
| وصف الملف: | 176 bytes; text/html |
| اللغة: | unknown |
| العلاقة: | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2695-2700; http://nccur.lib.nccu.edu.tw//handle/140.119/75044Test; http://nccur.lib.nccu.edu.tw/bitstream/140.119/75044/1/index.htmlTest |
| DOI: | 10.1109/ICSMC.2009.5346556 |
| الإتاحة: | https://doi.org/10.1109/ICSMC.2009.5346556Test http://nccur.lib.nccu.edu.tw//handle/140.119/75044Test http://nccur.lib.nccu.edu.tw/bitstream/140.119/75044/1/index.htmlTest |
| رقم الانضمام: | edsbas.77E1677F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/ICSMC.2009.5346556 |
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