Bulletin of Electrical Engineering and Informatics
Vol 7, No 3: September 2018

Speaker Recognition in Content-based Image Retrieval for a High Degree of Accuracy

Suhartono Suhartono (UIN Maulana Malik Ibrahim)
Fresy Nugroho (UIN Maulana Malik Ibrahim)
Muhammad Faisal (UIN Maulana Malik Ibrahim)
Muhammad Ainul Yaqin (UIN Maulana Malik Ibrahim)
Suyanta Suyanta (Politeknik Negeri Malang)

Article Info

Publish Date
01 Sep 2018

Abstract

The purpose of this research is to measure the speaker recognition accuracy in Content-Based Image Retrieval. To support research in speaker recognition accuracy, we use two approaches for recognition system: identification and verification, an identification using fuzzy Mamdani, a verification using Manhattan distance. The test results in this research. The best of distance mean is size 32x32. The best of the verification for distance rate is 965, and the speaker recognition system has a standard error of 5% and the system accuracy is 95%. From these results, we find that there is an increase in accuracy of almost 2.5%. This is due to a combination of two approaches so the system can add to the accuracy of speaker recognition.

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Journal Info
Bulletin of Electrical Engineering and Informatics
Website

Abbrev

EEI

Publisher

Universitas Ahmad Dahlan

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...