• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Zhe, H. (Zhe, H..) [1] | Ying, L. (Ying, L..) [2]

Indexed by:

Scopus

Abstract:

As a technology of context analysis, the detective method of polyphonic sound event detection has a widespread prospect of application. In this paper, a detective method of polyphonic sound event were proposed to resolve the challenge in IEEE DCASE2017 task 3 based on full convolutional DenseNet. Relevant results illustrated that the method is higher in F-score and lower in ER than the baseline method proposed by IEEE DCASE2017 based on DNNs, and also get higher performance-7.4% higher in F-score and 3% lower in ER than the best method in IEEE DCASE2017 challenge based on CRNN. © 2018 IEEE.

Keyword:

Fully Convolutional DenseNet; Log Mel energy spectrum; Polyphonic sound event detection

Community:

  • [ 1 ] [Zhe, H.]College of Mathematics and Computer Science, Fuzhou University Fuzhou, Fujian, 350116, China
  • [ 2 ] [Zhe, H.]Key Lab of Information Security of Network Systems, Fuzhou University, Fuzhou, Fujian, 350116, China
  • [ 3 ] [Ying, L.]College of Mathematics and Computer Science, Fuzhou University Fuzhou, Fujian, 350116, China
  • [ 4 ] [Ying, L.]Key Lab of Information Security of Network Systems, Fuzhou University, Fuzhou, Fujian, 350116, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

International Conference on Cloud Computing, Big Data and Blockchain, ICCBB 2018

Year: 2018

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

Online/Total:57/10819152
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1