Literature DB >> 30369861

Revisiting Models of Concurrent Vowel Identification: The Critical Case of No Pitch Differences.

Samuel S Smith1, Ananthakrishna Chintanpalli2, Michael G Heinz3, Christian J Sumner1.   

Abstract

When presented with two vowels simultaneously, humans are often able to identify the constituent vowels. Computational models exist that simulate this ability, however they predict listener confusions poorly, particularly in the case where the two vowels have the same fundamental frequency. Presented here is a model that is uniquely able to predict the combined representation of concurrent vowels. The given model is able to predict listener's systematic perceptual decisions to a high degree of accuracy.

Entities:  

Keywords:  43.66.-x; 43.66Ba; 43.71.-k; 43.71.Es; 43.72.-p; 43.72.Qr; PACS no. 4371.An

Year:  2018        PMID: 30369861      PMCID: PMC6201250          DOI: 10.3813/AAA.919244

Source DB:  PubMed          Journal:  Acta Acust United Acust        ISSN: 1861-9959


  10 in total

1.  Estimates of human cochlear tuning at low levels using forward and simultaneous masking.

Authors:  Andrew J Oxenham; Christopher A Shera
Journal:  J Assoc Res Otolaryngol       Date:  2003-07-10

2.  A nonlinear filter-bank model of the guinea-pig cochlear nerve: rate responses.

Authors:  Christian J Sumner; Lowel P O'Mard; Enrique A Lopez-Poveda; Ray Meddis
Journal:  J Acoust Soc Am       Date:  2003-06       Impact factor: 1.840

3.  Derivation of auditory filter shapes from notched-noise data.

Authors:  B R Glasberg; B C Moore
Journal:  Hear Res       Date:  1990-08-01       Impact factor: 3.208

4.  Modeling the perception of concurrent vowels: vowels with different fundamental frequencies.

Authors:  P F Assmann; Q Summerfield
Journal:  J Acoust Soc Am       Date:  1990-08       Impact factor: 1.840

5.  The use of confusion patterns to evaluate the neural basis for concurrent vowel identification.

Authors:  Ananthakrishna Chintanpalli; Michael G Heinz
Journal:  J Acoust Soc Am       Date:  2013-10       Impact factor: 1.840

6.  Modeling the perception of concurrent vowels: vowels with the same fundamental frequency.

Authors:  P F Assmann; Q Summerfield
Journal:  J Acoust Soc Am       Date:  1989-01       Impact factor: 1.840

7.  The frequency response and other properties of single fibres in the guinea-pig cochlear nerve.

Authors:  E F Evans
Journal:  J Physiol       Date:  1972-10       Impact factor: 5.182

8.  Perceptual and computational separation of simultaneous vowels: cues arising from low-frequency beating.

Authors:  J F Culling; C J Darwin
Journal:  J Acoust Soc Am       Date:  1994-03       Impact factor: 1.840

Review 9.  Pitch, harmonicity and concurrent sound segregation: psychoacoustical and neurophysiological findings.

Authors:  Christophe Micheyl; Andrew J Oxenham
Journal:  Hear Res       Date:  2009-09-27       Impact factor: 3.208

10.  Modeling the identification of concurrent vowels with different fundamental frequencies.

Authors:  R Meddis; M J Hewitt
Journal:  J Acoust Soc Am       Date:  1992-01       Impact factor: 1.840

  10 in total

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