TY  - BOOK
TI  - DSP for in-vehicle and mobile systems
SN  - 0387229787 (alk. paper)
AV  - TL272.58 .D778 2005
PY  - 2005///
CY  - New York
PB  - Springer
KW  - Automotive telematics
KW  - Signal processing
KW  - Digital techniques
N1  - Construction and Analysis of a Multi-layered In-car Spoken Dialogue Corpus.- CU-Move: Advanced In-Vehicle Speech Systems for Route Navigation.- A Spoken Dialog Corpus for Car Telematics Services.- Experiences of Multi-speaker Dialogue System for Vehicular Information Retrieval.- Robust Dialog Management Architecture using VoiceXML for Car Telematics Systems.- Use of Multiple Speech Recognition Units in an In-car Assistance System.- Hi-speed Error Correcting Code LSI for Mobile Phone.- MCMAC as an Amplitude Spectral Estimator for Speech Enhancement.- Noise Robust Speech Recognition Using Prosodic Information.- Reduction of Diffuse Noise in Mobile and Vehicular Applications.- Speech Enhancement Based on F-Norm Constrained Truncated SVD Algorithm.- Verbkey-A Single-Chip Speech Control for the Automobile Environment.- Real-time Transmission of H.264 Video over 802.11B-based Wireless Ad Hoc Networks.- DWT Image Compression for Mobile Communication.- Link-adaptive Variable Bit-rate Speech Transmission over 802.11 Wireless LANs.- Joint Audio-Video Processing for Robust Biometric Speaker Identification in Car.- Is Our Driving Behavior Unique?- Robust ASR Inside a Vehicle Using Blind Probabilistic Based Under-determined Convolutive Mixture Separation Technique.- In-car Speech Recognition Using Distributed Microphones
N2  - DSP for In-Vehicle and Mobile Systems is focused on digital signal processing strategies for improving information access, command and control, and communications for in-vehicle environments. It is expected that the next generation of human-to-vehicle interfaces will incorporate speech, video/image, and wireless communication modalities to provide more comfortable and safer driving ambiance. It is also expected that vehicles will become smarter and provide a level of wireless information sharing of resources regarding road, weather, traffic, and other information that drivers may need immediately or request at a later time while driving on the road. The format of this work centers on three themes: in-vehicle corpora, speech recognition/dialog systems with emphasis on car environments, and digital signal processing for mobile platforms involving noise suppression, image/video processing, and alternative communication scenarios that can be employed for in-vehicle applications. DSP for In-Vehicle and Mobile Systems is appropriate for researchers and professionals working in signal processing technologies, next generation vehicle design and networked-communications
ER  -