Virtual Music Teacher For Monophonic Music Signals
DOI:
https://doi.org/10.18034/ra.v5i1.311Keywords:
Autocorrelation, MATLAB®, Music education, Pitch Detection, Wavelet TransformAbstract
The target of this thesis paper is to develop digital signal processing algorithms and implement a software environment to detect the pitch of music signals. Analysis of music signals, detecting the pitch and tracking notes is the main part of the work. Different state of the art pitch detection algorithms were investigated and their advantages and disadvantages were studied and compared among each other. In this thesis, the Wavelet transform method is used for monophonic pitch detection. The proposed method was developed using MATLAB® and tested for various music tracks which were produced from multi-track MIDI and audio editing software and some downloaded from the net. MATLAB® graphical user interface is used to display the detected as a feedback to the musician.
Downloads
References
See the Manuscript
Downloads
Published
Issue
Section
License
ABC Research Alert is an Open Access journal. Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a CC BY-NC 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of their work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal. We require authors to inform us of any instances of re-publication.
