Sound Event Detection: A tutorial

被引：94

作者：

Mesaros, Annamaria ^{[1
]}

Heittola, Toni ^{[2
]}

Virtanen, Tuomas ^{[3
]}

Plumbley, Mark D. ^{[4
,5
]}

机构：

[1] Tampere Univ, Machine Listening Grp, Korkeakoulunkatu 33014, Finland

[2] Tampere Univ, Korkeakoulunkatu 33014, Finland

[3] Tampere Univ, Audio Res Grp, Korkeakoulunkatu 33014, Finland

[4] Univ Surrey, Ctr Vis Speech & Signal Proc, Signal Proc, Guildford GU2 7XH, Surrey, England

[5] Univ Surrey, Sch Comp Sci & Elect Engn, Guildford GU2 7XH, Surrey, England

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2021年 / 38卷 / 05期

基金：

英国工程与自然科学研究理事会; 芬兰科学院; 欧洲研究理事会;

关键词：

AUDIO;

D O I：

10.1109/MSP.2021.3090678

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Imagine standing on a street corner in the city. With your eyes closed you can hear and recognize a succession of sounds: cars passing by, people speaking, their footsteps when they walk by, and the continuous falling of rain. The recognition of all these sounds and interpretation of the perceived scene as a city street soundscape comes naturally to humans. It is, however, the result of years of "training": encountering and learning associations among the vast varieties of sounds in everyday life, the sources producing these sounds, and the names given to them.

引用

页码：67 / 83

页数：17

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