OPTIMASI POWER NORMALIZED CEPSTRAL COEFFICIENTS DAN GROWING SELF ORGANIZING MAPS DALAM PENGENALAN SUARA

PUSPITASARI, MEUTIA and Pahendra, Iwan and Abdiansah, Abdiansah (2021) OPTIMASI POWER NORMALIZED CEPSTRAL COEFFICIENTS DAN GROWING SELF ORGANIZING MAPS DALAM PENGENALAN SUARA. Master thesis, Sriwijaya University.

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Abstract

Speech recognition system is a technology that allows devices to recognize words by digitizing words and matching digital signals with certain patterns stored in computer devices. The purpose of this study is to develop a speech recognition technique by implementing the Power Normalized Cepstral Coefficients for feature extraction method and classifying it using the Self Organizing Maps and Growing Self Organizing Maps methods. Model analysis technique is using the Confusion Matrix. The dataset is used in the form of voice data taken manually with a total of 200 voice data from 20 respondents. The results of this analysis obtained several conclusions, the first Power Normalized Cepstral Coefficients method is able to make voice data that has noise become a good feature for training and testing. The second, methods of Growing Self Organizing Maps is able to produce the same accuracy as the method of Self Organizing Maps with a smaller number of iterations and final weight nodes than the Self Organizing Maps method requires. The third, the spread factor value has an influence to form the right model by determining the growth of nodes. The fourth, Self Organizing Maps and Growing Self Organizing Maps are both capable of producing good models in terms of model performance measurement with the support of the Power Normalized Cepstral Coefficients feature achieving an accuracy of 95%.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Pengenalan Suara, PNCC, GSOM, SOM
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	MEUTIA PUSPITASARI
Date Deposited:	29 Sep 2021 02:40
Last Modified:	29 Sep 2021 02:40
URI:	http://repository.unsri.ac.id/id/eprint/55117

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