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Learning audio-visual associations using mutual ...
https://ieeexplore.ieee.org/document/824909/#:~:text=Learning%20audio-visual%20associations%20using%20mutual%20information%20Abstract%3A%20This,the%20maximization%20of%20mutual%20information%20of%20audio-visual%20clusters.
Learning audio-visual associations using mutual ...
https://ieeexplore.ieee.org/document/824909/
Learning audio-visual associations using mutual information. Abstract: This paper addresses the problem of finding useful associations between audio and visual input signals. The proposed approach is based on the maximization of mutual information of audio-visual clusters. This approach results in segmentation of continuous speech signals, and finds visual …
Learning Audio‐Visual Associations Using Mutual ...
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_2056031
Roy, D., Schiele, B., & Pentland, A. (1999). Learning Audio‐Visual Associations Using Mutual Information. In Integration of Speech and Image Understanding (pp. 147 ...
Learning Audio-Visual Associations Using Mutual …
https://core.ac.uk/display/293735593
Learning Audio-Visual Associations Using Mutual Information. Authors. Deb Roy; Bernt Schiele; Alex Pentland; Publication date January 1, 1999. Publisher IEEE Computer Society. Konferenzveröffentlichung; NonPeerReviewed; Similar works. Full text. TUbiblio Provided a free PDF (195.62 KB)
Integration Of Speech And Vision Using Mutual …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.9060
Mutual information is used to integrate acoustic and visual distance metrics in order to extract an audio-visual lexicon from raw input. Wereport results of experiments with a corpus of infant-directed speech and images. 1. INTRODUCTION We are developing systems which learn words from co-occurring audio and visual input [5, 4].
Enhancing Audio-Visual Association with Self …
https://www.aaai.org/AAAI21Papers/AAAI-6067.ZhangJ.pdf
The recent studies on audio-visual representations learn-ing can be generally categorized into two types: Audio-Visual Correspondence (AVC) (Arandjelovic and Zisser-man 2017) and Audio-Visual Synchronization (AVS) (Chung, Chung, and Kang 2019). The two types are mainly about set-ting up a verification task that predicts whether an input pair
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