The DOI matches its Crossref record.
Perceptual Restoration of Missing Speech Sounds
Abstract
When an extraneous sound (such as a cough or tone) completely replaces a speech sound in a recorded sentence, listeners believe they hear the missing sound. The extraneous sound seems to occur during another portion of the sentence without interfering with the intelligibility of any phoneme. If silence replaces a speech sound, the gap is correctly localized and the absence of the speech sound detected.
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Citations
Cited by
Barsalou, L. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002149 · Cited by 6,887
Barsalou, L. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093639 · Cited by 5,936
Forest before trees: The precedence of global features in visual perception
Navon, D. (1977) · Cognitive Psychology · doi:10.1016/0010-0285(77)90012-3 · Cited by 4,005
A sensorimotor account of vision and visual consciousness
O'Regan, J. K., & Noë, A. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000115 · Cited by 3,126
What do we mean by prediction in language comprehension?
Kuperberg, G. R., & Jaeger, T. F. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1102299 · Cited by 1,087
Metadata
- Authors
- Warren, R. M.
- Venue
- Science
- Published
- 1970-01-23
- Volume
- 167
- Issue
- 3917
- Pages
- 392-393
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1977531436
- Cited by
- 1,143
- References
- 0
- FWCI
- 15.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Perceptual Restoration of Missing Speech Sounds. https://app.cochat.ai/papers/10.1126/science.167.3917.392
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- Warren, R. M. (1970). Perceptual Restoration of Missing Speech Sounds. Science. https://doi.org/10.1126/science.167.3917.392
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
