The hypothesis that melodies are recognized at moments when they exhibit a distinctive musical pattern was tested. In a melody recognition experiment, point-of-recognition (POR) data were gathered from 32 listeners (16 musicians and 16 nonmusicians) judging 120 melodies. A series of models of melody recognition were developed, resulting from a stepwise multiple regression of two classes of information relating to melodic familiarity and melodic distinctiveness. Melodic distinctiveness measures were assembled through statistical analyses of over 15,000 Western themes and melodies. A significant model, explaining 85% of the variance, entered measures primarily of timing distinctiveness and pitch distinctiveness, but excluding familiarity, as predictors of POR. Differences between nonmusician and musician models suggest a processing shift from momentary to accumulated information with increased exposure to music.
展开▼
