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• W21273448 abstract "Automotive infotainment systems now provide drivers the ability to hear incoming Short Message Service (SMS) text messages using text-to-speech. However, the question of how best to allow users to respond to these messages using speech recognition remains unsettled. In this paper, we propose a robust voice search approach to replying to SMS messages based on template matching. The templates are empirically derived from a large SMS corpus and matches are accurately retrieved using a vector space model. In evaluating SMS replies within the acoustically challenging environment of automobiles, the voice search approach consistently outperformed using just the recognition results of a statistical language model or a probabilistic context-free grammar. For SMS replies covered by our templates, the approach achieved as high as 89.7% task completion when evaluating the top five reply candidates." @default.
• W21273448 created "2016-06-24" @default.
• W21273448 creator A5001396445 @default.
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• W21273448 date "2009-09-06" @default.
• W21273448 modified "2023-09-24" @default.
• W21273448 title "A voice search approach to replying to SMS messages in automobiles" @default.
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• W21273448 doi "https://doi.org/10.21437/interspeech.2009-293" @default.
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