Blind source separation‐based IVA‐Xception model for bird sound recognition in complex acoustic environments-Reference-Cited by-同舟云学术

Blind source separation‐based IVA‐Xception model for bird sound recognition in complex acoustic environments

Published:2021-04-16 Issue:11 Volume:57 Page:454-456
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Dai Yusheng¹^ORCID,Yang Jin¹^ORCID,Dong Yiwei²,Zou Haipeng³,Hu Mingzhi¹,Wang Bin⁴

Affiliation:

1. School of Cyber Science and Engineering Sichuan University No. 24 South Section 1, Yihuan Road Chengdu 610065 People's Republic of China

2. College of Mathematics Sichuan University Chengdu People's Republic of China

3. College of Software Engineering Sichuan University Chengdu People's Republic of China

4. School of Information Science and Technology Southwest Jiaotong University People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12160

Reference21 articles.

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2. Ecoacoustics

3. Fine‐scale observations of spatio‐spectro‐temporal dynamics of bird vocalizations using robot audition techniques

4. Automated birdsong recognition in complex acoustic environments: a review

5. Lasseck M.:Bird song classification in field recordings: winning solution for NIPS4B 2013 competition. In:Proceedings of the International Symposium on Neural Information Scaled for Bioacoustics sabiod. org/nips4b joint to NIPS Nevada pp.176–181(2013)

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