Literature DB >> 26536081

Integration of Partial Information Within and Across Modalities: Contributions to Spoken and Written Sentence Recognition.

Kimberly G Smith, Daniel Fogerty.   

Abstract

PURPOSE: This study evaluated the extent to which partial spoken or written information facilitates sentence recognition under degraded unimodal and multimodal conditions.
METHOD: Twenty young adults with typical hearing completed sentence recognition tasks in unimodal and multimodal conditions across 3 proportions of preservation. In the unimodal condition, performance was examined when only interrupted text or interrupted speech stimuli were available. In the multimodal condition, performance was examined when both interrupted text and interrupted speech stimuli were concurrently presented. Sentence recognition scores were obtained from simultaneous and delayed response conditions.
RESULTS: Significantly better performance was obtained for unimodal speech-only compared with text-only conditions across all proportions preserved. The multimodal condition revealed better performance when responses were delayed. During simultaneous responses, participants received equal benefit from speech information when the text was moderately and significantly degraded. The benefit from text in degraded auditory environments occurred only when speech was highly degraded.
CONCLUSIONS: The speech signal, compared with text, is robust against degradation likely due to its continuous, versus discrete, features. Allowing time for offline linguistic processing is beneficial for the recognition of partial sensory information in unimodal and multimodal conditions. Despite the perceptual differences between the 2 modalities, the results highlight the utility of multimodal speech + text signals.

Entities:  

Mesh:

Year:  2015        PMID: 26536081      PMCID: PMC4987035          DOI: 10.1044/2015_JSLHR-H-14-0272

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  49 in total

1.  Development of speechreading supplements based on automatic speech recognition.

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Journal:  IEEE Trans Biomed Eng       Date:  2000-04       Impact factor: 4.538

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Review 3.  The processing of audio-visual speech: empirical and neural bases.

Authors:  Ruth Campbell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

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Authors:  C S Watson; W W Qiu; M M Chamberlain; X Li
Journal:  J Acoust Soc Am       Date:  1996-08       Impact factor: 1.840

5.  Use of speech-modulated noise adds strong "bottom-up" cues for phonemic restoration.

Authors:  J A Bashford; R M Warren; C A Brown
Journal:  Percept Psychophys       Date:  1996-04

6.  Information-bearing acoustic change outperforms duration in predicting intelligibility of full-spectrum and noise-vocoded sentences.

Authors:  Christian E Stilp
Journal:  J Acoust Soc Am       Date:  2014-03       Impact factor: 1.840

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Journal:  Cognition       Date:  1987-03

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Authors:  R M Warren
Journal:  Psychol Bull       Date:  1984-09       Impact factor: 17.737

9.  Acoustic predictors of intelligibility for segmentally interrupted speech: temporal envelope, voicing, and duration.

Authors:  Daniel Fogerty
Journal:  J Speech Lang Hear Res       Date:  2013-07-09       Impact factor: 2.297

Review 10.  From sensation to cognition.

Authors:  M M Mesulam
Journal:  Brain       Date:  1998-06       Impact factor: 13.501

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  5 in total

1.  Perceptual Organization of Interrupted Speech and Text.

Authors:  Valeriy Shafiro; Daniel Fogerty; Kimberly Smith; Stanley Sheft
Journal:  J Speech Lang Hear Res       Date:  2018-10-26       Impact factor: 2.297

2.  Integration of partial information for spoken and written sentence recognition by older listeners.

Authors:  Kimberly G Smith; Daniel Fogerty
Journal:  J Acoust Soc Am       Date:  2016-06       Impact factor: 1.840

3.  Speech recognition error patterns for steady-state noise and interrupted speech.

Authors:  Kimberly G Smith; Daniel Fogerty
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

4.  Combining partial information from speech and text.

Authors:  Daniel Fogerty; Irraj Iftikhar; Rachel Madorskiy
Journal:  J Acoust Soc Am       Date:  2020-02       Impact factor: 1.840

5.  Older adult recognition error patterns when listening to interrupted speech and speech in steady-state noise.

Authors:  Kimberly G Smith; Daniel Fogerty
Journal:  J Acoust Soc Am       Date:  2021-11       Impact factor: 1.840

  5 in total

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