Cited by 209Speech and Audio ProcessingSpeech Recognition and SynthesisMultisensory perception and integration

Integration of acoustic and visual speech signals using neural networks

Yuhas, B.P., Goldstein, M.H., Sejnowski, T.J.·1989·IEEE Communications Magazine

Abstract

Results from a series of experiments that use neural networks to process the visual speech signals of a male talker are presented. In these preliminary experiments, the results are limited to static images of vowels. It is demonstrated that these networks are able to extract speech information from the visual images and that this information can be used to improve automatic vowel recognition. The structure of speech and its corresponding acoustic and visual signals are reviewed. The specific data that was used in the experiments along with the network architectures and algorithms are described. The results of integrating the visual and auditory signals for vowel recognition in the presence of acoustic noise are presented.>

Integrity signals

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Crossref · 10.1109/35.41402

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57 of 57 references verified0 citation errors · 0 not checkable

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  • Some recently successful practice used weakly aligned image-text pairs to perform pretraining and achieve both competitive performance and zero-shot learning capability for image classification, image-text retrieval, and open-ended visual question answering.

    “Some recently successful practice [9], [199], [205] used weakly aligned image-text pairs to perform pretraining, and achieve both competitive performance and zero-shot learning capability for image classification, image-text retrieval, and open-ended visual question answering, etc.”

    From Multimodal learning with transformers: A survey (2023) · cites this paper as [205]

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Authors
Yuhas, B. P., Goldstein, M. H., & Sejnowski, T. J.
Affiliations
Johns Hopkins University (US)
Venue
IEEE Communications Magazine
Published
1989-11
Volume
27
Issue
11
Pages
65-71
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2151096985
Cited by
209
References
59
Citations by year
2026: 9 · 2025: 8 · 2024: 15 · 2023: 13 · 2022: 15 · 2021: 11 · 2020: 12 · 2019: 6 · 2018: 8 · 2017: 4 · 2016: 3 · 2015: 7 · 2014: 4 · 2013: 3 · 2012: 4
FWCI
5.16
Type
journal article
Language
en
Open access
closed
Locations
IEEE Communications Magazine (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
Keywords
visual speech, vowel recognition, artificial neural networks, speech recognition, acoustic noise, multimodal speech processing

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