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This paper proposes a methodology for recognition of vocal music (Byzantine music) via multi-modal signals processing. A sequence of multi-modal signals is captured from the expert's (teacher) and student's hymns performances, respectively. The machine learning system is trained using the values of particular features which are extracted from the captured multi-modal signals. After the system is being...
This paper presents a methodology implementation of a turn-key training system for music (singing voice). The implementation took place with Max/Msp development software. Initially we create a small corpus of anthems for testing purposes by recording four(4) small hymns. Each hymn is been performed three(3) times from the same chanter. The reason of that repetition answers the purpose of finding the...
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