• DocumentCode
    2506986
  • Title

    Recognition of musical tonality from sound input

  • Author

    Izmirli, Özgur ; Bilgen, Semih

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    1994
  • fDate
    12-14 Apr 1994
  • Firstpage
    269
  • Abstract
    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
  • Keywords
    acoustic signal processing; electronic music; finite automata; music; acoustical input; computer based recognition; digital signal processing; finite state automats; interval sequences; melodies; musical note intervals; musical tonality recognition; pre-programmed scale patterns; time dependent tonal context vector; tonal component; tonal components; Acoustic signal processing; Automata; Context modeling; Digital filters; Fast Fourier transforms; Filtering; History; Pattern matching; Real time systems; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean
  • Conference_Location
    Antalya
  • Print_ISBN
    0-7803-1772-6
  • Type

    conf

  • DOI
    10.1109/MELCON.1994.381110
  • Filename
    381110