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- W1642788345 abstract "With the range of services that can be accessed inside a car constantly increasing, so are the opportunities for personalizing the experience for both driver and other passengers. A main challenge however is to find out who is sitting where without asking explicitly. The solution presented in this paper combines two sources of information in a novel way: Ambient speech and mobile personal devices. The approach offers improved privacy by putting the user in control, and it does not require specialized positioning technologies such as RFID. In a data-driven evaluation, we confirm that the accuracy is sufficient to support a ten-speaker scenario in practice." @default.
- W1642788345 created "2016-06-24" @default.
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- W1642788345 date "2010-01-01" @default.
- W1642788345 modified "2023-09-25" @default.
- W1642788345 title "This Is Me: Using Ambient Voice Patterns for In-Car Positioning" @default.
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- W1642788345 doi "https://doi.org/10.1007/978-3-642-16917-5_33" @default.
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