Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls
作者：
Highlights：
• Comparison of acoustic features for unsupervised segmentation of anuran calls.
• Information Theory Quantifiers evaluation for bioacoustic signals description.
• Separation of different patterns in temporal series using Permutation Entropy.
• Simulation and evaluation of the impact of colored noises on signal segmentation.
• Low-cost method for Wireless Acoustic Sensor Networks.
摘要
•Comparison of acoustic features for unsupervised segmentation of anuran calls.•Information Theory Quantifiers evaluation for bioacoustic signals description.•Separation of different patterns in temporal series using Permutation Entropy.•Simulation and evaluation of the impact of colored noises on signal segmentation.•Low-cost method for Wireless Acoustic Sensor Networks.
论文关键词：Unsupervised bioacoustics signal segmentation,Information theory,Permutation entropy,Colored noise
论文评审过程：Received 11 August 2017, Revised 27 March 2018, Accepted 29 March 2018, Available online 5 April 2018, Version of Record 25 April 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.062
