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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Proceeding of the Electrical Engineering Computer Science and Informatics Conference SENATIK STT Adisutjipto Yogyakarta Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Linggo Sumarno
Universitas Sanata Dharma
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Perfecting a Video Game with Game Metrics

 1 
Feature Extraction of Musical Instrument Tones using FFT and Segment Averaging Linggo Sumarno; I. Iswanjono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.3381

Abstract

A feature extraction for musical instrument tones that based on a transform domain approach was proposed in this paper. The aim of the proposed feature extraction was to get the lower feature extraction coefficients. In general, the proposed feature extraction was carried out as follow. Firstly, the input signal was transformed using FFT (Fast Fourier Transform). Secondly, the left half of the transformed signal was divided into a number of segments. Finally, the averaging results of that segments, was the feature extraction of the input signal. Based on the test results, the proposed feature extraction was highly efficient for the tones, which have many significant local peaks in the Fourier transform domain, because it only required at least four feature extraction coefficients, in order to represent every tone.
Water Pump Mechanical Faults Display at Various Frequency Resolutions Linggo Sumarno; Tjendro Tjendro; Wiwien Widyastuti; R.B. Dwiseno Wihadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.29

Abstract

When an electrical machine suffered a mechanical fault, it generally emits certain sounds. These sounds came from the vibration. Therefore, based on the vibration, it could be detected if there was a mechanical fault in an electrical machine. This paper discussed the graphical display of the vibration of electrical machines in the form of household water pumps which were in good condition, faulty bearing, faulty impeller, or faulty foot valve. Vibration could be displayed in the time domain, or in the frequency domain, by using the three axes, i.e. X, Y, and Z. In the frequency domain, the vibration could be displayed at various frequency resolutions. Based on the observations, the higher frequency resolution, the lower detail in the graphical display of frequency domain would be shown. Although there was lower detail in the graphical display of frequency domain, at frequency resolution of 11.7 Hz in the X axis, showed that it could be visually distinguished among water pumps which were in good condition, faulty bearing, faulty impeller, or faulty foot valve.
The influence of sampling frequency on tone recognition of musical instruments Linggo Sumarno; Kuntoro Adi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11608

Abstract

Sampling frequency of musical instruments tone recognition generally follows the Shannon sampling theorem. This paper explores the influence of sampling frequency that does not follow the Shannon sampling theorem, in the tone recognition system using segment averaging for feature extraction and template matching for classification. The musical instruments we used were bellyra, flute, and pianica, where each of them represented a musical instrument that had one, a few, and many significant local peaks in the Discrete Fourier Transform (DFT) domain. Based on our experiments, until the sampling frequency is as low as 312 Hz, recognition rate performance of bellyra and flute tones were influenced a little since it reduced in the range of 5%. However, recognition rate performance of pianica tones was not influenced by that sampling frequency. Therefore, if that kind of reduced recognition rate could be accepted, the sampling frequency as low as 312 Hz could be used for tone recognition of musical instruments.
Co-Authors Anak Agung Istri Sri Wiadnyani Damar Widjaja Damar Widjaja Djoko Untoro Suwarno Gunawan, Vincentius Abdi Iswanjono Iswanjono Iswanjono Iswanjono Kuntoro Adi Martanto . Martanto Martanto Petrus Setyo Prabowo Primawan, A.Bayu Putra, Leonardus Sandy Ade R.B. Dwiseno Wihadi Rifai Chai Setiyani, Th. Prima Ari Theresia Prima Ari Setiyani Tjendro Tjendro Tjendro Wihadi, R.B. Dwiseno Wiwien Widyastuti