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Animal biodiversity has been experiencing rapid decline due to various reasons such as habitat loss and degradation, invasive species, and environment pollution.Recent advances in acoustic sensors provide a novel way to monitor animals through investigating collected bioacoustic recordings. To accurately monitor animals, the precondition is the high performance of developed bioacoustic signal recognition model. However, since bioacoustic recordings are often obtained in an open environment, various sources of noise will affect the audio quality, which causes problems for automated analysis of animal sound recordings. Although various methods have been developed for addressing the noise in different bioacoustic recordings, to the best of our knowledge, there is still no paper that reviews and summarizes those methods. The main aim of this paper is to provide a systematic survey of the existing literature related to bioacoustic signal denoising. By investigating the existing denoising methods for bioacoustic recordings, current challenges, possible opportunities, and future research directions are discussed and concluded.
Artificial Intelligence Review – Springer Journals
Published: Nov 9, 2020
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