Animal Sound Classification Using A Convolutional Neural Network

被引：0
|
作者：
Sasmaz, Emre [1 ]
Tek, F. Boray [1 ]
机构：
[1] Isik Univ, Dept Comp Engn, Istanbul, Turkey
来源：
2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) | 2018年
关键词：
Animal sound classification; Mel Frequency Cepstral Coefficient (MFCC); Convolution Neural Network (CNN); Confusion Matrix (CF);
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network architecture. As the input to the network, sound files were preprocessed to extract Mel Frequency Cepstral Coefficients (MFCC) using LibROSA library. To train and test the system we have collected 875 animal sound samples from an online sound source site for 10 different animal types. We report classification confusion matrices and the results obtained by different gradient descent optimizers. The best accuracy of 75% was obtained by Nesterov-accelerated Adaptive Moment Estimation (Nadam).
引用
收藏
页码：625 / 629
页数：5
相关论文
共 50 条
  • [1] Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network
    Khamparia, Aditya
    Gupta, Deepak
    Nhu Gia Nguyen
    Khanna, Ashish
    Pandey, Babita
    Tiwari, Prayag
    IEEE ACCESS, 2019, 7 : 7717 - 7727
  • [2] Sound Classification Using Convolutional Neural Networks
    Jaiswal, Kaustumbh
    Patel, Dhairya Kalpeshbhai
    2018 SEVENTH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING IN EMERGING MARKETS (CCEM), 2018, : 81 - 84
  • [3] Normal/Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network
    Nilanon, Tanachat
    Yao, Jiayu
    Hao, Junheng
    Purushotham, Sanjay
    Liu, Yan
    2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43, 2016, 43 : 585 - 588
  • [4] Robust technique for environmental sound classification using convolutional recurrent neural network
    Anam Bansal
    Naresh Kumar Garg
    Multimedia Tools and Applications, 2024, 83 : 54755 - 54772
  • [5] Hand Gesture Classification Based on Nonaudible Sound Using Convolutional Neural Network
    Kim, Jinhyuck
    Choi, Sunwoong
    JOURNAL OF SENSORS, 2019, 2019
  • [6] Direction Estimation of Instrumental Sound Sources Using Convolutional Neural Network Classification
    Yamamoto, Kaho
    Murata, Harumi
    Ogihara, Akio
    2024 INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS, AND COMMUNICATIONS, ITC-CSCC 2024, 2024,
  • [7] Convolutional neural network based amphibian sound classification using covariance and modulogram
    Ko, Kyungdeuk
    Park, Sangwook
    Ko, Hanseok
    JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2018, 37 (01): : 60 - 65
  • [8] Towards Heart Sound Classification Without Segmentation Using Convolutional Neural Network
    Zhang, Wenjie
    Han, Jiqing
    2017 COMPUTING IN CARDIOLOGY (CINC), 2017, 44
  • [9] Robust technique for environmental sound classification using convolutional recurrent neural network
    Bansal, Anam
    Garg, Naresh Kumar
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (18) : 54755 - 54772
  • [10] Convolutional Neural Network with SVM for Classification of Animal Images
    Manohar, N.
    Kumar, Y. H. Sharath
    Rani, Radhika
    Kumar, G. Hemantha
    EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY, ICERECT 2018, 2019, 545 : 527 - 537
12345