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- W1942647574 abstract "We are developing a system which learns words from co-occurring spoken and visual input. The goal is to automatically segment continuous speech at word boundaries without a lexicon, and to form visual categories which correspond to spoken words. Mutual information is used to integrate acoustic and visual distance metrics in order to extract an audio-visual lexicon from raw input. We report results of experiments with a corpus of infant-directed speech and images." @default.
- W1942647574 created "2016-06-24" @default.
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- W1942647574 date "2002-11-07" @default.
- W1942647574 modified "2023-09-28" @default.
- W1942647574 title "Integration of speech and vision using mutual information" @default.
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- W1942647574 doi "https://doi.org/10.1109/icassp.2000.859317" @default.
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