Word Recognition for Color Classification Using Convolutional Neural Network

Tuasikal, Dyah Ayu Anggreini and Nugraha, M.B and Yudhatama, Emilio and Muharom, Ahmad Syahril and Pura, Megantara (2020) Word Recognition for Color Classification Using Convolutional Neural Network. In: 5th International Conference on New Media Studies, 9-11 Oct. 2019, Bali, Indonesia.

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Word recognition using deep learning is a simple approach to speech recognition in general. This work using color classes for the data set, to distinguish several colors using word spoken by human speakers. This research conducted by using convolutional neural network for deep learning classifier and MFCC as the feature extraction method from the audio data. This research yields good results, approximately about 98% for training accuracy and testing accuracy.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: word recognition , color classification , MFCC , CNN
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (3D Graphics, Digital Video, Data Mining, Augmented Reality)
Divisions: Fakultas Teknik Informatika > Program Studi Teknik Elektro
Depositing User: mr admin umn
Date Deposited: 08 Dec 2021 09:54
Last Modified: 08 Dec 2021 09:54
URI: http://kc.umn.ac.id/id/eprint/19403

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