Thesis Details
Rozpoznávaní tónů a akordů na platformě Android
The aim of this work is to recognize tones and chords on any musical instrument using the microphone on Android mobile devices. The app scans or records the sounds which are analyzed. It writes to a visual representation which is similar to the musical notation. The work describes the problems of recognition and the solution of the problem using fast Fourier transformation and analysis of the spectrum of volumes. Work describes the theory of music and the training of individual tones. The application was subjected to user tests and recognition accuracy tests. The conclusion includes tests results and statistics from the Google Play publication.
Audio, recognition, signal, chords, tones, spectrum, sampling, FFT, frequency, WAV, polyphony, Android, mobile devices, musical instruments, sheet music, real time
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Krupková Vlasta, RNDr., CSc. (DMAT FEEC BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT20094, author = "Oliver Kucharovi\v{c}", type = "Bachelor's thesis", title = "Rozpozn\'{a}van\'{i} t\'{o}n\r{u} a akord\r{u} na platform\v{e} Android", school = "Brno University of Technology, Faculty of Information Technology", year = 2017, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/20094/" }