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...

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Detalhes bibliográficos

Principais autores:	Kun QIAN, Christoph JANOTT, Zixing ZHANG, Jun DENG, Alice BAIRD, Clemens HEISER, Winfried HOHENHORST, Michael HERZOG, Werner HEMMERT, Björn SCHULLER
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Institute of Fundamental Technological Research Polish Academy of Sciences 2018-07-01
coleção:	Archives of Acoustics
Assuntos:	snore sound obstructive sleep apnea acoustic features machine learning
Acesso em linha:	https://acoustics.ippt.pan.pl/index.php/aa/article/view/2155
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