National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Computer Aided Transformation of Guitar Solos from Recorded Song to Tabs
Joščák, Juraj ; Veigend, Petr (referee) ; Zbořil, František (advisor)
The aim of this thesis was automatic pitch detection in melodic guitar lines and subsequent transcription to guitar tablature. Final system uses comb filtering to detect pitch. Individual notes are separated by beat detection. An algorithm for transcription of notes to guitar tablature, based on minimalization of hand movement is proposed.
Acoustic tuner with audio output
Kučera, Josef ; Krajsa, Ondřej (referee) ; Schimmel, Jiří (advisor)
The aim of this bachelor thesis is to compare selected algorithms used in practice for tuning indication. Within the thesis, the selected algorithms are tested in Matlab environment on a series of audio samples, in order to select the most suitable algorithm for the realization of the tuner. The selected algorithm is implemented on the Arduino platform using Arduino IDE enviroment. Moreover, a voice output is created for tuning indication.
Audio effect for pitch modification
Čermák, Václav ; Sysel, Petr (referee) ; Schimmel, Jiří (advisor)
This thesis deals with the realisation of an effect for real-time pitch detection and pitch shifting. At first, properties and basic operations of audio signals are analyzed for time and frequency analysis. An emphasis is placed on signal conversion from the time domain to the frequency domain. Methods for audio pitch shifting, fundamental frequency detection and voiced parts determination are discussed next. The practical part describes design of relevant algorithms, their implementation in Matlab environment and evaluation of the results. Evaluation is followed by the creation of a VST plug-in for real-time pitch shifting, which contains chosen algorithms from the previous section and is the final output of this thesis.
Computer Aided Transformation of Guitar Solos from Recorded Song to Tabs
Joščák, Juraj ; Veigend, Petr (referee) ; Zbořil, František (advisor)
The aim of this thesis was automatic pitch detection in melodic guitar lines and subsequent transcription to guitar tablature. Final system uses comb filtering to detect pitch. Individual notes are separated by beat detection. An algorithm for transcription of notes to guitar tablature, based on minimalization of hand movement is proposed.

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