Advances in bird sound annotation methods for passive acoustic monitoring
Background & Aim:Bird sound annotation is essential for marking bird-related information in audio data,such as species identification and sound structure.It serves as a crucial foundation for passive acoustic monitoring,birds acoustic data analysis,as well as automatic species identification and classification.The purpose of this review is to help bird sound dataset creators and annotators better understand the existing labeling technologies and their potential development trends.It also provides technical support for improving the efficiency of automatic species identification in large-scale avian acoustic monitoring data.Summary:This paper compares the advantages of various common methods such as manual annotation,automatic annotation,and semi-automatic annotation.It highlights the challenges each method faces in terms of data quality,annotation consistency and annotation efficiency.The review also discusses recent applications of these methods in passive acoustic monitoring annotation models,establishing cross-regional datasets,and enhancing semi-automatic annotation systems.Perspectives:Despite significant progress in automatic annotation methods,challenges such as cold start remain.The field urgently needs larger-scale cross-regional datasets and efficient semi-automatic annotation systems to ensure quality control to meet the increasing demands for both annotation volume and accuracy.
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