Document Detail

Effects of length, tonal structure, and contour in the recognition of tone series.
MedLine Citation:
PMID:  8058450     Owner:  NLM     Status:  MEDLINE    
Four experiments on recognition of tone series are reported. The first experiment tested the accuracy of recognition in relation to length, contour complexity, and tonal structure of the series. Series comprised (1) 7 or 10 tones, (2) either a strong or a weak tonal structure, depending on the temporal ordering of the tones, and (3) few or many contour reversals. The second experiment used 7-tone series having either a strong or a weak tonal structure, depending on the mode (Ionian or Phrygian) in which the series was presented. Both experiments employed a same-different task in which a standard series was compared with either an exact or an inexact transposition, the latter type having one incorrectly transposed tone (mostly nondiatonic in Experiment 1 and always diatonic in Experiment 2). These experiments showed that (1) 7-tone series were better recognized than were 10-tone series, (2) series with a strong tonal structure were better recognized than were series with a weak tonal structure, and (3) contour complexity did not influence the responses. Two control experiments, using mistuned tone series, showed that the outcomes of Experiments 1 and 2 could not be attributed to nonmusical artifacts of the stimulus set.
W L Croonen
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Perception & psychophysics     Volume:  55     ISSN:  0031-5117     ISO Abbreviation:  Percept Psychophys     Publication Date:  1994 Jun 
Date Detail:
Created Date:  1994-09-12     Completed Date:  1994-09-12     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0200445     Medline TA:  Percept Psychophys     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  623-32     Citation Subset:  C    
Institute for Perception Research, Eindhoven, The Netherlands.
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MeSH Terms
Mental Recall*
Pitch Discrimination*
Serial Learning*
Time Perception*

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