PEMBUATAN DATABASE TRANSKRIP AKORD INSTRUMEN TUNGGAL MENGGUNAKAN METODE ENHANCED PITCH CLASS PROFILE (EPCP)

Kushidayati, Milla Fitriani and Huda, Miftahul and Setiawardhana, Setiawardhana PEMBUATAN DATABASE TRANSKRIP AKORD INSTRUMEN TUNGGAL MENGGUNAKAN METODE ENHANCED PITCH CLASS PROFILE (EPCP). EEPIS Final Project.

Preview

PDF - Published Version Download (505Kb) | Preview

Abstract

Playing music and recognize the chord being played are the two things are inseparable. However, recognizing the chord is not an easy case. Most beginners often have difficulty in determining the type of chord that consists of several tones. Therefore, people prefer to rely on private tutors to learn music. Based on human nature that likes the practical and easy way to solve the problem. So this final project, will be made a chord detection software automatically, so make easy to the beginner understand. By using EPCP (Enhanced Pitch Class Profile) which consists of 12 classes based on the range frequency of tones which generated from the detection of peaks in the FFT (Fast Fourier Transform) process. That process is able to recognize the type of chord being played, regardless of octave levels. By making the database of this software, it will be capable of storing data that has been processed through the sampling process and then thresholding process to take the dominant peak and will be continue to the frame blocking process, windowing, FFT and EPCP. The input data extension *.wav will be processed in audio files form. The system will detect the major and minor chords. Keywords: Method EPCP(Enhanced Pitch Class Profile), Sampling, FFT (Fast Fourier Transform), Akord

Actions (login required)