Literature DB >> 23363191

The internal representation of vowel spectra investigated using behavioral response-triggered averaging.

W Owen Brimijoin1, Michael A Akeroyd, Emily Tilbury, Bernd Porr.   

Abstract

Listeners presented with noise were asked to press a key whenever they heard the vowels [a] or [i:]. The noise had a random spectrum, with levels in 60 frequency bins changing every 0.5 s. Reverse correlation was used to average the spectrum of the noise prior to each key press, thus estimating the features of the vowels for which the participants were listening. The formant frequencies of these reverse-correlated vowels were similar to those of their respective whispered vowels. The success of this response-triggered technique suggests that it may prove useful for estimating other internal representations, including perceptual phenomena like tinnitus.

Entities:  

Mesh:

Year:  2013        PMID: 23363191      PMCID: PMC3864535          DOI: 10.1121/1.4778264

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


  8 in total

1.  Identification of band-pass filtered letters and faces by human and ideal observers.

Authors:  J Gold; P J Bennett; A B Sekuler
Journal:  Vision Res       Date:  1999-10       Impact factor: 1.886

2.  Superstitious perceptions reveal properties of internal representations.

Authors:  Frédéric Gosselin; Philippe G Schyns
Journal:  Psychol Sci       Date:  2003-09

3.  Tuning of orientation detectors in human vision.

Authors:  D L Ringach
Journal:  Vision Res       Date:  1998-04       Impact factor: 1.886

4.  Optimizing sound features for cortical neurons.

Authors:  R C deCharms; D T Blake; M M Merzenich
Journal:  Science       Date:  1998-05-29       Impact factor: 47.728

5.  Triggered correlation.

Authors:  R de Boer; P Kuyper
Journal:  IEEE Trans Biomed Eng       Date:  1968-07       Impact factor: 4.538

6.  Masking patterns for synthetic vowels in simultaneous and forward masking.

Authors:  B C Moore; B R Glasberg
Journal:  J Acoust Soc Am       Date:  1983-03       Impact factor: 1.840

7.  Spectro-temporal characterization of auditory neurons: redundant or necessary.

Authors:  J J Eggermont; A M Aertsen; D J Hermes; P I Johannesma
Journal:  Hear Res       Date:  1981-09       Impact factor: 3.208

8.  Psychophysical spectro-temporal receptive fields in an auditory task.

Authors:  Daniel E Shub; Virginia M Richards
Journal:  Hear Res       Date:  2009-02-26       Impact factor: 3.208

  8 in total
  4 in total

1.  Revealing the information contents of memory within the stimulus information representation framework.

Authors:  Philippe G Schyns; Jiayu Zhan; Rachael E Jack; Robin A A Ince
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-04-06       Impact factor: 6.237

2.  CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition.

Authors:  Juan José Burred; Emmanuel Ponsot; Louise Goupil; Marco Liuni; Jean-Julien Aucouturier
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

3.  High-Frequency Sensorineural Hearing Loss Alters Cue-Weighting Strategies for Discriminating Stop Consonants in Noise.

Authors:  Léo Varnet; Chloé Langlet; Christian Lorenzi; Diane S Lazard; Christophe Micheyl
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

4.  Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.

Authors:  Robin A A Ince; Nicola J van Rijsbergen; Gregor Thut; Guillaume A Rousselet; Joachim Gross; Stefano Panzeri; Philippe G Schyns
Journal:  Sci Rep       Date:  2015-12-04       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.