Literature DB >> 19275281

Adaptation to frozen babble in spoken word recognition.

Robert Albert Felty1, Adam Buchwald, David B Pisoni.   

Abstract

Previous research has shown that listeners can adapt to particular samples of noise, a phenomenon known as "frozen noise" [Langhans and Kohlrausch, J. Acoust. Soc. Am. 91, 3456-3470 (1992)]. However, no studies have reported a similar effect for multi-talker babble. The results of this study comparing open-set word recognition in multi-talker babble showed that listeners are significantly more accurate when the babble is fixed than when the babble is random. This documents the effect the authors refer to as "frozen babble."

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Year:  2009        PMID: 19275281      PMCID: PMC4109289          DOI: 10.1121/1.3073733

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


  6 in total

1.  Development of a speech-in-multitalker-babble paradigm to assess word-recognition performance.

Authors:  Richard H Wilson
Journal:  J Am Acad Audiol       Date:  2003-11       Impact factor: 1.664

2.  Development of a quick speech-in-noise test for measuring signal-to-noise ratio loss in normal-hearing and hearing-impaired listeners.

Authors:  Mead C Killion; Patricia A Niquette; Gail I Gudmundsen; Lawrence J Revit; Shilpi Banerjee
Journal:  J Acoust Soc Am       Date:  2004-10       Impact factor: 1.840

3.  Patterns of English phoneme confusions by native and non-native listeners.

Authors:  Anne Cutler; Andrea Weber; Roel Smits; Nicole Cooper
Journal:  J Acoust Soc Am       Date:  2004-12       Impact factor: 1.840

4.  Differences in auditory performance between monaural and dichotic conditions. I: masking thresholds in frozen noise.

Authors:  A Langhans; A Kohlrausch
Journal:  J Acoust Soc Am       Date:  1992-06       Impact factor: 1.840

5.  Sentence recognition in native- and foreign-language multi-talker background noise.

Authors:  Kristin J Van Engen; Ann R Bradlow
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

6.  Development of the Connected Speech Test (CST).

Authors:  R M Cox; G C Alexander; C Gilmore
Journal:  Ear Hear       Date:  1987-10       Impact factor: 3.570

  6 in total
  12 in total

1.  Perceptual adaptation and intelligibility of multiple talkers for two types of degraded speech.

Authors:  Tessa Bent; Adam Buchwald; David B Pisoni
Journal:  J Acoust Soc Am       Date:  2009-11       Impact factor: 1.840

2.  Masking release due to linguistic and phonetic dissimilarity between the target and masker speech.

Authors:  Lauren Calandruccio; Susanne Brouwer; Kristin J Van Engen; Sumitrajit Dhar; Ann R Bradlow
Journal:  Am J Audiol       Date:  2013-06       Impact factor: 1.493

3.  The effectiveness of clear speech as a masker.

Authors:  Lauren Calandruccio; Kristin Van Engen; Sumitrajit Dhar; Ann R Bradlow
Journal:  J Speech Lang Hear Res       Date:  2010-08-05       Impact factor: 2.297

4.  Similarity and familiarity: Second language sentence recognition in first- and second-language multi-talker babble.

Authors:  Kristin J Van Engen
Journal:  Speech Commun       Date:  2010-12-30       Impact factor: 2.017

5.  The incongruency advantage for environmental sounds presented in natural auditory scenes.

Authors:  Brian Gygi; Valeriy Shafiro
Journal:  J Exp Psychol Hum Percept Perform       Date:  2011-04       Impact factor: 3.332

6.  Masked sentence recognition assessed at ascending target-to-masker ratios: modest effects of repeating stimuli.

Authors:  Emily Buss; Lauren Calandruccio; Joseph W Hall
Journal:  Ear Hear       Date:  2015 Mar-Apr       Impact factor: 3.570

7.  Competing Speech Perception in Middle Age.

Authors:  Karen S Helfer
Journal:  Am J Audiol       Date:  2015-06       Impact factor: 1.493

8.  Effects of hearing loss on heart rate variability and skin conductance measured during sentence recognition in noise.

Authors:  Carol L Mackersie; Imola X MacPhee; Emily W Heldt
Journal:  Ear Hear       Date:  2015-01       Impact factor: 3.570

9.  Spectro-temporal glimpsing of speech in noise: Regularity and coherence of masking patterns reduces uncertainty and increases intelligibility.

Authors:  Daniel Fogerty; Victoria A Sevich; Eric W Healy
Journal:  J Acoust Soc Am       Date:  2020-09       Impact factor: 1.840

10.  The Influence of the Type of Background Noise on Perceptual Learning of Speech in Noise.

Authors:  Liping Zhang; Friederike Schlaghecken; James Harte; Katherine L Roberts
Journal:  Front Neurosci       Date:  2021-05-03       Impact factor: 4.677

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