Puspitasari, Meutia Puspitasari and Supardi, Julian Supardi and Sazaki, Yoppy Sazaki (2014) PENGENALAN SUARA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS DAN SELF ORGANIZING MAPS. In: Konferensi Nasional Teknologi Informasi dan Aplikasinya (KNTIA) 2014, 13 September 2014, Palembang, Indonesia.
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Abstract
ABSTRACT The interaction between human and computer can not be enjoyed by everyone, especially for people with disabilities, they will be difficult to interact using a computer. Speech to text recognition is one way to make it easy for anyone to operate a computer. Therefore, developed speech to text recognition research using Mel Frequency Cepstral Coefficients (MFCC) method to extract features from the voice data and Self Organizing Maps (SOM) to classify voice. This study uses primary data of 200 voice data as input for training and testing steps. The accuracy of the results achieved in this study is, testing for the same data with training data is 100 %, while for the data that is different from training data is 82 %. The results is obtained by comparing the amount of voice data that recognized successfully by the entire amount of voice data that tested. Keywords: Speech to Text Recognition, Mel Frequency Cepstral Coefficients, Self Organizing Maps
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA174.A385 Engineering design--Data processing. Manufacturing processes--Data processing. Computer integrated manufacturing systems. Manufacturing processes--Automation. CAD/CAM systems. |
| Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
| Depositing User: | Mr. Julian Supardi |
| Date Deposited: | 04 Oct 2019 03:11 |
| Last Modified: | 04 Oct 2019 03:11 |
| URI: | http://repository.unsri.ac.id/id/eprint/9364 |
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