title: Toward a quantitative account of pitch distribution in spontaneous narrative: method and validation.
abstract: Pitch is well-known both to animate human discourse and to convey meaning in communication. The study of the statistical population distributions of pitch in discourse will undoubtedly benefit from methodological improvements. The current investigation examines a method that parameterizes pitch in discourse as musical pitch interval H measured in units of cents and that disaggregates the sequence of peak word-pitches using tools employed in time-series analysis and digital signal processing. The investigators test the proposed methodology by its application to distributions in pitch interval of the peak word-pitch (collectively called the discourse gamut) that occur in simulated and actual spontaneous emotive narratives obtained from 17 middle-aged African-American adults. The analysis, in rigorous tests, not only faithfully reproduced simulated distributions imbedded in realistic time series that drift and include pitch breaks, but the protocol also reveals that the empirical distributions exhibit a common hidden structure when normalized to a slowly varying mode (called the gamut root) of their respective probability density functions. Quantitative differences between narratives reveal the speakers' relative propensity for the use of pitch levels corresponding to elevated degrees of a discourse gamut (the "e-la") superimposed upon a continuum that conforms systematically to an asymmetric Laplace distribution.
authors: Department of Physics, University of North Texas, 1155 Union Circle #311427, Denton, Texas 76203-5017, USA. Samuel.Matteson@unt.edu
authors: Samuel E
authors: SE
authors: Matteson
authors: Gloria Streit
authors: GS
authors: Olness
authors: Nancy J
authors: NJ
authors: Caplow
mesh_terms: D000162:Acoustics; D000328:Adult; D001741:Black or African American; D000367:Age Factors; D000368:Aged; D000465:Algorithms; D004644:Emotions; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010700:Phonetics; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013061:Speech Acoustics; D013068:Speech Production Measurement; D013997:Time Factors; D014833:Voice Quality
references: J Acoust Soc Am. 2004 May;115(5 Pt 1):2264-9
references: 15139637
references: J Acoust Soc Am. 2010 Oct;128(4):2182-90
references: 20968388
references: Percept Psychophys. 1994 Oct;56(4):414-23
references: 7984397
references: J Acoust Soc Am. 1986 Dec;80(6):1838-42
references: 3794080
references: Cereb Cortex. 2009 Mar;19(3):724-32
references: 18663250
references: Hear Res. 2010 Jul;266(1-2):36-51
references: 19788920
references: Proc Natl Acad Sci U S A. 2003 Aug 19;100(17):10038-42
references: 12909719
references: Lang Speech. 1978 Oct-Dec;21(4):305-18
references: 750790
references: J Neurosci. 2003 Aug 6;23(18):7160-8
references: 12904476
references: Logoped Phoniatr Vocol. 2006;31(1):36-42
references: 16517521
references: J Acoust Soc Am. 2010 Oct;128(4):1943-51
references: 20968366
references: J Acoust Soc Am. 1981 Mar;69(3):811-21
references: 7240562