Classification of musical instruments with convolutional neural networks

被引：0
|
作者：
Mitrovic, Miljan Z. [1 ]
Misic, Marko J. [1 ]
机构：
[1] Univ Beogradu, Elektrotehnicki Fak Beogradu, Bulevar Kralja Aleksandra 73, Belgrade 11120, Serbia
来源：
2018 26TH TELECOMMUNICATIONS FORUM (TELFOR) | 2018年
关键词：
D O I：
暂无
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：
This paper presents one solution to a problem of classifying musical instruments with convolutional neural networks. Mel frequency cepstral coefficients are used for audio features extraction, and neural network architecture is modelled after the LeNet architecture. During the learning process, Adam optimization is used, along with negative log likelihood loss function. In the end, results are given and it is concluted that this solution has, at least 4% better accuracy on the validation set, than any other published solution.
引用
收藏
页码：815 / 818
页数：4
相关论文
共 50 条
  • [31] Predicting classification performance of convolutional neural networks
    Dai, Mizuki
    Jin'no, Kenya
    IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2024, 15 (02): : 443 - 458
  • [32] On the Interpretation of Convolutional Neural Networks for Text Classification
    Xu, Jincheng
    Du, Qingfeng
    ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, 325 : 2252 - 2259
  • [33] Classification of stochastic processes by convolutional neural networks
    AL-hada, Eman A.
    Tang, Xiangong
    Deng, Weihua
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2022, 55 (27)
  • [34] Convolutional neural networks improve fungal classification
    Vu, Duong
    Groenewald, Marizeth
    Verkley, Gerard
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [35] Convolutional Neural Networks for Robust Classification of Drones
    Dale, Holly
    Jahangir, Mohammed
    Baker, Christopher J.
    Antoniou, Michail
    Harman, Stephen
    Ahmad, Bashar, I
    2022 IEEE RADAR CONFERENCE (RADARCONF'22), 2022,
  • [36] Convolutional Neural Networks for Time Series Classification
    Zebik, Mariusz
    Korytkowski, Marcin
    Angryk, Rafal
    Scherer, Rafal
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2017, PT II, 2017, 10246 : 635 - 642
  • [37] Classification of Musculoskeletal Abnormalities with Convolutional Neural Networks
    Sassai Sato, Guilherme Tiaki
    da Silva Segundo, Leodecio Braz
    Dias, Zanoni
    ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, BSB 2020, 2020, 12558 : 69 - 80
  • [38] Improving Musical Tag Annotation with Stacking and Convolutional Neural Networks
    da Silva, Juliano Donini
    Gomes da Costa, Yandre Maldonado
    Domingues, Marcos Aurelio
    PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 27TH EDITION, 2020, : 393 - 398
  • [39] Convolutional neural networks for time series classification
    Zhao, Bendong
    Lu, Huanzhang
    Chen, Shangfeng
    Liu, Junliang
    Wu, Dongya
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2017, 28 (01) : 162 - 169
  • [40] Reliable Classification with Ensemble Convolutional Neural Networks
    Gao, Zhen
    Zhang, Han
    Wei, Xiaohui
    Yan, Tong
    Guo, Kangkang
    Li, Wenshuo
    Wang, Yu
    Reviriego, Pedro
    2020 33RD IEEE INTERNATIONAL SYMPOSIUM ON DEFECT AND FAULT TOLERANCE IN VLSI AND NANOTECHNOLOGY SYSTEMS (DFT), 2020,
12345