Swiftlet sound identification using vector quantization and minimum distance classifier

Swiftlet sound identification using vector quantization and minimum distance classifier

There are high demand on swiftlet nest as it benefits in health, cosmetic and food industry. Therefore, the study about technologies and method to increase their production in swiftlet farming using sound technology is needed. In the real situation, the classification of swiftlet sound is evaluated...

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Bibliographic Details
Main Authors: Siti Nurzalikha Zaini, Husni Zaini, M. Z., Ibrahim
Format: Conference or Workshop Item
Language:English
English
Published: 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/18733/1/Swiftlet%20Sound%20Identification%20using%20Vector%20Quantization%20and%20Minimum%20Distance%20Classifier.pdf
http://umpir.ump.edu.my/id/eprint/18733/2/Swiftlet%20Sound%20Identification%20using%20Vector%20Quantization%20and%20Minimum%20Distance%20Classifier%201.pdf

Internet

http://umpir.ump.edu.my/id/eprint/18733/1/Swiftlet%20Sound%20Identification%20using%20Vector%20Quantization%20and%20Minimum%20Distance%20Classifier.pdf
http://umpir.ump.edu.my/id/eprint/18733/2/Swiftlet%20Sound%20Identification%20using%20Vector%20Quantization%20and%20Minimum%20Distance%20Classifier%201.pdf

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