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- W1535226948 abstract "Cumulative evidence now clarifies that a well-designed multimodal system that fuses two or more information sources can be an effective means of reducing recognition uncertainty. Performance advantages have been demonstrated for different modality combinations (speech and pen, speech and lip movements), for varied tasks (map-based simulation, speaker identification), and in different environments (noisy, quiet). Perhaps most importantly, the error suppression achievable with a multimodal system, compared with a unimodal spoken language one, can be in excess of 40%. Recent studies also have revealed that a multimodal system can perform in a more stable way than a unimodal one across varied real-world users (accented versus native speakers) and usage contexts (mobile versus stationary use). This chapter reviews these recent demonstrations of multimodal system robustness, distills general design strategies for optimizing robustness, and discusses future directions in the design of advanced multimodal systems. Finally, implications are discussed for the successful commercialization of promising but error-prone recognition-based technologies during the next decade." @default.
- W1535226948 created "2016-06-24" @default.
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- W1535226948 date "2002-01-01" @default.
- W1535226948 modified "2023-09-26" @default.
- W1535226948 title "Breaking the Robustness Barrier: Recent Progress on the Design of Robust Multimodal Systems" @default.
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- W1535226948 doi "https://doi.org/10.1016/s0065-2458(02)80009-2" @default.
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