RECOGNITION OF MUSICAL TONALITY FROM SOUND INPUT

Date

1994-04-14

Author

IZMIRLI, O
BILGEN, S

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Work on the problem of computer based determination of the musical mode and tonality of a melody from sound input is presented. The study proposes a tool for determination of a time dependent tonal context vector for melodies from acoustical input. Each element of this vector, called a tonal component, indicates the extent of a specific scale usage. The system is made up of two stages: The first is involved in digital signal processing and is used to convert sound input of melodies into a sequence of musical note intervals and their associated occurrence times. The second stage uses finite state automats to match patterns of the interval sequences with pre-programmed scale patterns. The output consists of a time dependent tonal context vector whose elements are relative strengths of various tonal components regarding the melody under consideration.

Subject Keywords

Automata , Filtering , Fast Fourier Transforms, History , Context Modeling , Acoustic Signal Processing , Pattern Matching , Sampling Methods , Digital Filters , Real Time Systems

URI

https://hdl.handle.net/11511/65531

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

O. IZMIRLI and S. BILGEN, “RECOGNITION OF MUSICAL TONALITY FROM SOUND INPUT,” 1994, p. 269, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65531.