One shot learning for acoustics classification of Malaysia bird species

• Main Author: Koay, Xian Hong
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/99476/1/KoayXianHongMSKE2022.pdf; http://eprints.utm.my/id/eprint/99476/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149924

Malaysia is famed for its beautiful bio-diverse forest and its bird species, some of it is still understudied. Using acoustic detection, we can study these bird as current advanced in machine learning application have resulted in cutting edge performance for acoustic classification application. Howe...