Automatic anuran identification using noise removal and audio activity detection

作者：

Highlights：

• Automatic anuran identification based on audio.

• Noise removal and audio activity detection.

• Real database recording in natural environment.

• Between 96.1% and 100% of accuracy for 17 species.

摘要

•Automatic anuran identification based on audio.•Noise removal and audio activity detection.•Real database recording in natural environment.•Between 96.1% and 100% of accuracy for 17 species.

论文关键词：Bioacoustical identification,Biodiversity monitoring,Species richness,Ecological indices,Environmental audio,Frog identification

论文评审过程：Received 23 December 2015, Revised 11 October 2016, Accepted 10 December 2016, Available online 13 December 2016, Version of Record 19 December 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.12.019