Literature DB >> 16018484

An autocorrelation model with place dependence to account for the effect of harmonic number on fundamental frequency discrimination.

Joshua G W Bernstein1, Andrew J Oxenham.   

Abstract

Fundamental frequency (f0) difference limens (DLs) were measured as a function of f0 for sine- and random-phase harmonic complexes, bandpass filtered with 3-dB cutoff frequencies of 2.5 and 3.5 kHz (low region) or 5 and 7 kHz (high region), and presented at an average 15 dB sensation level (approximately 48 dB SPL) per component in a wideband background noise. Fundamental frequencies ranged from 50 to 300 Hz and 100 to 600 Hz in the low and high spectral regions, respectively. In each spectral region, f0 DLs improved dramatically with increasing f0 as approximately the tenth harmonic appeared in the passband. Generally, f0 DLs for complexes with similar harmonic numbers were similar in the two spectral regions. The dependence of f0 discrimination on harmonic number presents a significant challenge to autocorrelation (AC) models of pitch, in which predictions generally depend more on spectral region than harmonic number. A modification involving a "lag window"is proposed and tested, restricting the AC representation to a limited range of lags relative to each channel's characteristic frequency. This modified unitary pitch model was able to account for the dependence of f0 DLs on harmonic number, although this correct behavior was not based on peripheral harmonic resolvability.

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Year:  2005        PMID: 16018484      PMCID: PMC1451417          DOI: 10.1121/1.1904268

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  42 in total

1.  Time-domain modeling of peripheral auditory processing: a modular architecture and a software platform.

Authors:  R D Patterson; M H Allerhand; C Giguère
Journal:  J Acoust Soc Am       Date:  1995-10       Impact factor: 1.840

2.  Comments on "A unitary model of pitch perception" [J. Acoust. Soc. Am. 102, 1811-1820 (1997)].

Authors:  R P Carlyon
Journal:  J Acoust Soc Am       Date:  1998-08       Impact factor: 1.840

Review 3.  A model of selective processing of auditory-nerve inputs by stellate cells of the antero-ventral cochlear nucleus.

Authors:  Y C Lai; R L Winslow; M B Sachs
Journal:  J Comput Neurosci       Date:  1994-08       Impact factor: 1.621

4.  Cancellation model of pitch perception.

Authors:  A de Cheveigné
Journal:  J Acoust Soc Am       Date:  1998-03       Impact factor: 1.840

5.  Neural correlates of the pitch of complex tones. II. Pitch shift, pitch ambiguity, phase invariance, pitch circularity, rate pitch, and the dominance region for pitch.

Authors:  P A Cariani; B Delgutte
Journal:  J Neurophysiol       Date:  1996-09       Impact factor: 2.714

6.  Neural correlates of the pitch of complex tones. I. Pitch and pitch salience.

Authors:  P A Cariani; B Delgutte
Journal:  J Neurophysiol       Date:  1996-09       Impact factor: 2.714

7.  Excitation produced by Schroeder-phase complexes: evidence for fast-acting compression in the auditory system.

Authors:  R P Carlyon; A J Datta
Journal:  J Acoust Soc Am       Date:  1997-06       Impact factor: 1.840

8.  A unitary model of pitch perception.

Authors:  R Meddis; L O'Mard
Journal:  J Acoust Soc Am       Date:  1997-09       Impact factor: 1.840

9.  Basilar-membrane responses to tones at the base of the chinchilla cochlea.

Authors:  M A Ruggero; N C Rich; A Recio; S S Narayan; L Robles
Journal:  J Acoust Soc Am       Date:  1997-04       Impact factor: 1.840

10.  A time domain description for the pitch strength of iterated rippled noise.

Authors:  W A Yost; R Patterson; S Sheft
Journal:  J Acoust Soc Am       Date:  1996-02       Impact factor: 1.840

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  30 in total

1.  Pitch perception for mixtures of spectrally overlapping harmonic complex tones.

Authors:  Christophe Micheyl; Michael V Keebler; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

2.  Implications of within-fiber temporal coding for perceptual studies of F0 discrimination and discrimination of harmonic and inharmonic tone complexes.

Authors:  Sushrut Kale; Christophe Micheyl; Michael G Heinz
Journal:  J Assoc Res Otolaryngol       Date:  2014-06

3.  Harmonic segregation through mistuning can improve fundamental frequency discrimination.

Authors:  Joshua G W Bernstein; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2008-09       Impact factor: 1.840

4.  Can temporal fine structure represent the fundamental frequency of unresolved harmonics?

Authors:  Andrew J Oxenham; Christophe Micheyl; Michael V Keebler
Journal:  J Acoust Soc Am       Date:  2009-04       Impact factor: 1.840

5.  Further evidence that fundamental-frequency difference limens measure pitch discrimination.

Authors:  Christophe Micheyl; Claire M Ryan; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2012-05       Impact factor: 1.840

6.  Cortical pitch regions in humans respond primarily to resolved harmonics and are located in specific tonotopic regions of anterior auditory cortex.

Authors:  Sam Norman-Haignere; Nancy Kanwisher; Josh H McDermott
Journal:  J Neurosci       Date:  2013-12-11       Impact factor: 6.167

7.  Pitch discrimination with mixtures of three concurrent harmonic complexes.

Authors:  Jackson E Graves; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2019-04       Impact factor: 1.840

8.  Time-dependent discrimination advantages for harmonic sounds suggest efficient coding for memory.

Authors:  Malinda J McPherson; Josh H McDermott
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-01       Impact factor: 11.205

9.  Computational model predictions of cues for concurrent vowel identification.

Authors:  Ananthakrishna Chintanpalli; Jayne B Ahlstrom; Judy R Dubno
Journal:  J Assoc Res Otolaryngol       Date:  2014-07-08

10.  Speech recognition against harmonic and inharmonic complexes: spectral dips and periodicity.

Authors:  Mickael L D Deroche; John F Culling; Monita Chatterjee; Charles J Limb
Journal:  J Acoust Soc Am       Date:  2014-05       Impact factor: 1.840

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