Cicada species recognition based on acoustic signals using dynamic time warping-graph based GraphMix, graph convolution network

• Published in: Procedia computer science Vol. 245; pp. 508 - 517
• Main Authors: Yohanes, Gabriel, Prabowo, Abram Setyo, Kurniadi, Felix Indra
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2024
• Subjects: Acoustic Signal; Audio; GAT; GCN; Graph Representation; GraphMix; Insect Classification; RNN; Speech Recognition; Speech Recognition; Acoustic Signal; GCN; RNN; GraphMix; Insect Classification; GAT; Audio; Graph Representation

Cicadas, known for their distinctive acoustic signals, have been subjects of classification research for years. Recent researches elaborated the species composition as effect of climate change, further raising the need of effective classification system. Tra- ditional methods rely on manual classifi...