Cited by 190Speech and dialogue systemsSpeech and Audio ProcessingMultisensory perception and integration

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Multimodal integration-a statistical view

Lizhong Wu, Oviatt, S.L., Cohen, P.R.·1999·IEEE Transactions on Multimedia

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Abstract

We present a statistical approach to developing multimodal recognition systems and, in particular, to integrating the posterior probabilities of parallel input signals involved in the multimodal system. We first identify the primary factors that influence multimodal recognition performance by evaluating the multimodal recognition probabilities. We then develop two techniques, an estimate approach and a learning approach, which are designed to optimize accurate recognition during the multimodal integration process. We evaluate these methods using Quickset, a speech/gesture multimodal system, and report evaluation results based on an empirical corpus collected with Quickset. From an architectural perspective, the integration technique presented offers enhanced robustness. It also is premised on more realistic assumptions than previous multimodal systems using semantic fusion. From a methodological standpoint, the evaluation techniques that we describe provide a valuable tool for evaluating multimodal systems.

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Authors: Wu, L., Oviatt, S. L., & Cohen, P. R.
ORCID: Lizhong Wu
Oviatt, S.L.
Cohen, P.R.
Venue: IEEE Transactions on Multimedia
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 1999
Volume: 1
Issue: 4
Pages: 334-341
ISSN: 1520-9210 (ISSN-L)
DOI: 10.1109/6046.807953
OpenAlex: W2151194828
Cited by: 190
References: 34
Citations by year: 2026: 2 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 1 · 2020: 5 · 2019: 5 · 2018: 4 · 2017: 7 · 2016: 3 · 2015: 3 · 2014: 5 · 2013: 8 · 2012: 8
FWCI: 9.94
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Multimedia (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
Keywords: multimodal recognition, multimodal integration, robustness, semantic fusion

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