Literature DB >> 11008820

The use of visible speech cues for improving auditory detection of spoken sentences.

K W Grant1, P F Seitz.   

Abstract

Classic accounts of the benefits of speechreading to speech recognition treat auditory and visual channels as independent sources of information that are integrated fairly early in the speech perception process. The primary question addressed in this study was whether visible movements of the speech articulators could be used to improve the detection of speech in noise, thus demonstrating an influence of speechreading on the ability to detect, rather than recognize, speech. In the first experiment, ten normal-hearing subjects detected the presence of three known spoken sentences in noise under three conditions: auditory-only (A), auditory plus speechreading with a visually matched sentence (AV(M)) and auditory plus speechreading with a visually unmatched sentence (AV(UM). When the speechread sentence matched the target sentence, average detection thresholds improved by about 1.6 dB relative to the auditory condition. However, the amount of threshold reduction varied significantly for the three target sentences (from 0.8 to 2.2 dB). There was no difference in detection thresholds between the AV(UM) condition and the A condition. In a second experiment, the effects of visually matched orthographic stimuli on detection thresholds was examined for the same three target sentences in six subjects who participated in the earlier experiment. When the orthographic stimuli were presented just prior to each trial, average detection thresholds improved by about 0.5 dB relative to the A condition. However, unlike the AV(M) condition, the detection improvement due to orthography was not dependent on the target sentence. Analyses of correlations between area of mouth opening and acoustic envelopes derived from selected spectral regions of each sentence (corresponding to the wide-band speech, and first, second, and third formant regions) suggested that AV(M) threshold reduction may be determined by the degree of auditory-visual temporal coherence, especially between the area of lip opening and the envelope derived from mid- to high-frequency acoustic energy. Taken together, the data (for these sentences at least) suggest that visual cues derived from the dynamic movements of the fact during speech production interact with time-aligned auditory cues to enhance sensitivity in auditory detection. The amount of visual influence depends in part on the degree of correlation between acoustic envelopes and visible movement of the articulators.

Mesh:

Year:  2000        PMID: 11008820     DOI: 10.1121/1.1288668

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


  135 in total

1.  Developmental Shifts in Detection and Attention for Auditory, Visual, and Audiovisual Speech.

Authors:  Susan Jerger; Markus F Damian; Cassandra Karl; Hervé Abdi
Journal:  J Speech Lang Hear Res       Date:  2018-12-10       Impact factor: 2.297

2.  Assessing spoken word recognition in children who are deaf or hard of hearing: a translational approach.

Authors:  Karen Iler Kirk; Lindsay Prusick; Brian French; Chad Gotch; Laurie S Eisenberg; Nancy Young
Journal:  J Am Acad Audiol       Date:  2012-06       Impact factor: 1.664

3.  Specification of cross-modal source information in isolated kinematic displays of speech.

Authors:  Lorin Lachs; David B Pisoni
Journal:  J Acoust Soc Am       Date:  2004-07       Impact factor: 1.840

4.  Bimodal speech: early suppressive visual effects in human auditory cortex.

Authors:  Julien Besle; Alexandra Fort; Claude Delpuech; Marie-Hélène Giard
Journal:  Eur J Neurosci       Date:  2004-10       Impact factor: 3.386

5.  How visual cues for when to listen aid selective auditory attention.

Authors:  Lenny A Varghese; Erol J Ozmeral; Virginia Best; Barbara G Shinn-Cunningham
Journal:  J Assoc Res Otolaryngol       Date:  2012-02-11

Review 6.  Perceptuo-motor interactions in the perceptual organization of speech: evidence from the verbal transformation effect.

Authors:  Anahita Basirat; Jean-Luc Schwartz; Marc Sato
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-04-05       Impact factor: 6.237

7.  Multistage audiovisual integration of speech: dissociating identification and detection.

Authors:  Kasper Eskelund; Jyrki Tuomainen; Tobias S Andersen
Journal:  Exp Brain Res       Date:  2010-12-25       Impact factor: 1.972

Review 8.  Cued speech for enhancing speech perception and first language development of children with cochlear implants.

Authors:  Jacqueline Leybaert; Carol J LaSasso
Journal:  Trends Amplif       Date:  2010-06

9.  Cross-modal prediction in speech depends on prior linguistic experience.

Authors:  Carolina Sánchez-García; James T Enns; Salvador Soto-Faraco
Journal:  Exp Brain Res       Date:  2013-02-06       Impact factor: 1.972

10.  Brain networks engaged in audiovisual integration during speech perception revealed by persistent homology-based network filtration.

Authors:  Heejung Kim; Jarang Hahm; Hyekyoung Lee; Eunjoo Kang; Hyejin Kang; Dong Soo Lee
Journal:  Brain Connect       Date:  2015-03-02
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