Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation

This paper proposes a comprehensive study on machine listening for localisation of snore sound excitation. Here we investigate the effects of varied frame sizes, and overlap of the analysed audio chunk for extracting low-level descriptors. In addition, we explore the performance of each kind of feat...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Archives of Acoustics
المؤلفون الرئيسيون:	Kun QIAN, Christoph JANOTT, Zixing ZHANG, Jun DENG, Alice BAIRD, Clemens HEISER, Winfried HOHENHORST, Michael HERZOG, Werner HEMMERT, Björn SCHULLER
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Institute of Fundamental Technological Research Polish Academy of Sciences 2018-07-01
الموضوعات:	snore sound obstructive sleep apnea acoustic features machine learning
الوصول للمادة أونلاين:	https://acoustics.ippt.pan.pl/index.php/aa/article/view/2155