The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The use of visible speech cues for improving auditory detection of spoken sentences
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 (AVM) and auditory plus speechreading with a visually unmatched sentence (AVUM). 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 AVUM 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 AVM 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 AVM 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.
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Cites
Transformed Up-Down Methods in Psychoacoustics
Levitt, H. (1971) · The Journal of the Acoustical Society of America · doi:10.1121/1.1912375 · Cited by 5,477
Visual Contribution to Speech Intelligibility in Noise
Sumby, W. H., & Pollack, I. (1954) · The Journal of the Acoustical Society of America · doi:10.1121/1.1907309 · Cited by 2,583
An Analysis of Perceptual Confusions Among Some English Consonants
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Activation of Auditory Cortex During Silent Lipreading
Calvert, G. A., Bullmore, E. T., Brammer, M. J., Campbell, R., Williams, S. C. R., McGuire, P. K., Woodruff, P. W. R., Iversen, S. D., & David, A. S. (1997) · Science · doi:10.1126/science.276.5312.593 · Cited by 1,025
The intelligibility of speech as a function of the context of the test materials.
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Determinants of multisensory integration in superior colliculus neurons. I. Temporal factors
Meredith, M., Nemitz, J., & Stein, B. (1987) · The Journal of Neuroscience · doi:10.1523/jneurosci.07-10-03215.1987 · Cited by 754
Quantitative association of vocal-tract and facial behavior
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Detection in noise by spectro-temporal pattern analysis
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Seeing speech: visual information from lip movements modifies activity in the human auditory cortex
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Self-citation
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Mechanisms underlying selective neuronal tracking of attended speech at a “cocktail party”
Zion Golumbic, E. M., Ding, N., Bickel, S., Lakatos, P., Schevon, C. A., McKhann, G. M., Goodman, R. R., Emerson, R., Mehta, A. D., Simon, J. Z., et al. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.037 · Cited by 909
The Natural Statistics of Audiovisual Speech
Chandrasekaran, C., Trubanova, A., Stillittano, S., Caplier, A., & Ghazanfar, A. A. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000436 · Cited by 630
Auditory processing in autism spectrum disorder: A review
O’Connor, K. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.11.008 · Cited by 466
Krahmer, E., & Swerts, M. (2007) · Journal of Memory and Language · doi:10.1016/j.jml.2007.06.005 · Cited by 386
Listening to talking faces: motor cortical activation during speech perception
Skipper, J. I., Nusbaum, H. C., & Small, S. L. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.11.006 · Cited by 324
Metadata
- Authors
- Grant, K. W., & Seitz, P.-F.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2000-09-01
- Volume
- 108
- Issue
- 3
- Pages
- 1197-1208
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2010929291
- Cited by
- 521
- References
- 26
- FWCI
- 6.86
- Type
- journal article
- Language
- en
- Open access
- closed
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