Improving automatic speech recognition through head pose driven visual grounding
In this paper, we present a multimodal speech recognition system for real world scene description tasks. Given a visual scene, the system dynamically biases its language model based on the content of the visual scene and visual attention of the speaker. Visual attention is used to focus on likely ob...
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Format: | Article |
Language: | en_US |
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Association for Computing Machinery
2014
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Online Access: | http://hdl.handle.net/1721.1/86943 https://orcid.org/0000-0002-2564-8909 |