Syllable clustering analysis-based passive acoustic monitoring technology and its application in bird monitoring

Passive acoustic monitoring has proven to be an effective method for monitoring bird biodiversity, as it allows for the analysis of important information such as bird songs and calls. The complexity and variations of bird songs and calls make it difficult to quickly and accurately identify bird species using voiceprint analysis. Solving this problem is essential for the successful implementation of a voiceprint-based bird diversity monitoring scheme. Methods: This paper proposes a syllable clustering analysis-based approach for bird song/call monitoring framework.