Sound Classification Using Convolutional Neural Networks

被引：15
|
作者：
Jaiswal, Kaustumbh [1 ]
Patel, Dhairya Kalpeshbhai [1 ]
机构：
[1] Dayananda Sagar Coll Engn, Dept Informat Sci, Bangalore, Karnataka, India
来源：
2018 SEVENTH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING IN EMERGING MARKETS (CCEM) | 2018年
关键词：
sound classification; deep neural networks; convolutional neural networks; spectrograms; deforestation detection; gunshot detection;
D O I：
10.1109/CCEM.2018.00021
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The performance of Sound Classification like Urban Sound Classification, Environmental Sound Classification, etc. has been significantly improved with the evolution of Deep Neural Networks (DNN). In this paper, we propose a model which uses Convolutional Neural Networks (CNN) for classification of sound based on the spectrograms obtained for different sound samples. The model can be used for Deforestation detection, Gunshot detection in urban areas and also for detecting unusual sounds in streets like a cry for help, tyres screeching etc. at odd hours.
引用
收藏
页码：81 / 84
页数：4
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