Titlebook: DSP for In-Vehicle and Mobile Systems; Hüseyin Abut,John H.L. Hansen,Kazuya Takeda Book 2005 Springer-Verlag US 2005 Antriebsschlupfregelu

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Construction and Analysis of a Multi-Layered In-car Spoken Dialogue Corpus,ve developed the system specially built in a Data Collection Vehicle (DCV) which supports synchronous recording of multi-channel audio data from 16 microphones that can be placed in flexible positions, multi-channel video data from 3 cameras and the vehicle related data. Multimedia data has been col

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CU-Move: Advanced In-Vehicle Speech Systems for Route Navigation,comprised of a multi-microphone array processing front-end, environmental sniffer (for noise analysis), robust speech recognition system, and dialog manager and information servers. We also present our recently completed speech corpus for in-vehicle interactive speech systems for route planning and

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A Spoken Dialog Corpus for Car Telematics Services, corpus used in the design of CAMMIA (Conversational Agent for Multimedia Mobile Information Access), which employs a novel dialog management system that allows users to switch dialog tasks in a flexible manner. The corpus for car telematics services was collected from 137 male and 113 female speake

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Use of Multiple Speech Recognition Units in an In-car Assistance System,essing tourist information while driving. Part of the related activities aimed at developing this “Virtual Intelligent Codriver” are being conducted under the European VICO project. The architecture of the dialogue system is here presented, with a description of its main modules: Front-end Speech Pr

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Noise Robust Speech Recognition Using Prosodic Information,y (.) contour conveys phrase intonation and word accent information. Consequently, it also conveys information about prosodic phrase and word boundaries. This paper first proposes a noise robust . extraction method using the Hough transform, which achieves high extraction accuracy under various nois