Literature DB >> 7971133

Maximum key-profile correlation (MKC) as a measure of tonal structure in music.

A H Takeuchi1.   

Abstract

Tonal structure is musical organization on the basis of pitch, in which pitches vary in importance and rate of occurrence according to their relationship to a tonal center. Experiment 1 evaluated the maximum key-profile correlation (MKC), a product of Krumhansl and Schmuckler's key-finding algorithm (Krumhansl, 1990), as a measure of tonal structure. The MKC is the maximum correlation coefficient between the pitch class distribution in a musical sample and key profiles, which indicate the stability of pitches with respect to particular tonal centers. The MKC values of melodies correlated strongly with listeners' ratings of tonal structure. To measure the influence of the temporal order of pitches on perceived tonal structure, three measures (fifth span, semitone span, and pitch contour) taken from previous studies of melody perception were also correlated with tonal structure ratings. None of the temporal measures correlated as strongly or as consistently with tonal structure ratings as did the MKC, and nor did combining them with the MKC improve prediction of tonal structure ratings. In Experiment 2, the MKC did not correlate with recognition memory of melodies. However, melodies with very low MKC values were recognized less accurately than melodies with very high MKC values. Although it does not incorporate temporal, rhythmic, or harmonic factors that may influence perceived tonal structure, the MKC can be interpreted as a measure of tonal structure, at least for brief melodies.

Mesh:

Year:  1994        PMID: 7971133     DOI: 10.3758/bf03209767

Source DB:  PubMed          Journal:  Percept Psychophys        ISSN: 0031-5117


  18 in total

1.  Tonal strength and melody recognition after long and short delays.

Authors:  W J Dowling
Journal:  Percept Psychophys       Date:  1991-10

2.  Influences of acculturation and musical sophistication on perception of musical interval patterns.

Authors:  M P Lynch; R E Eilers; K D Oller; R C Urbano; P Wilson
Journal:  J Exp Psychol Hum Percept Perform       Date:  1991-11       Impact factor: 3.332

3.  Reaction time and musical expectancy: priming of chords.

Authors:  J J Bharucha; K Stoeckig
Journal:  J Exp Psychol Hum Percept Perform       Date:  1986-11       Impact factor: 3.332

4.  Recency and suffix effects in serial recall of musical stimuli.

Authors:  R L Greene; A G Samuel
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1986-10       Impact factor: 3.051

5.  Recognition memory for single tones with and without context.

Authors:  K M Dewar; L L Cuddy; D J Mewhort
Journal:  J Exp Psychol Hum Learn       Date:  1977-01

6.  Tonal hierarchies in the music of north India.

Authors:  M A Castellano; J J Bharucha; C L Krumhansl
Journal:  J Exp Psychol Gen       Date:  1984-09

7.  Perceptual aspects of synthesized approximations to melody.

Authors:  A J Watkins
Journal:  J Acoust Soc Am       Date:  1985-10       Impact factor: 1.840

8.  Children's perception of melodies: the role of contour, frequency, and rate of presentation.

Authors:  B A Morrongiello; S E Trehub; L A Thorpe; S Capodilupo
Journal:  J Exp Child Psychol       Date:  1985-10

9.  Perception of structure in short melodic sequences.

Authors:  L L Cuddy; A J Cohen; D J Mewhort
Journal:  J Exp Psychol Hum Percept Perform       Date:  1981-08       Impact factor: 3.332

10.  Some figural properties of auditory patterns.

Authors:  P L Divenyi; I J Hirsh
Journal:  J Acoust Soc Am       Date:  1978-11       Impact factor: 1.840

View more
  1 in total

1.  An experimental analysis of memory processing.

Authors:  Anthony A Wright
Journal:  J Exp Anal Behav       Date:  2007-11       Impact factor: 2.468

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.