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.- Modified Cerebellar Model Articulation Controller (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.

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.

Robustness issues in speech recognition Dialog systems in cars provide increase information access to drivers Hands-free voice dialing in cars is important for safety - many restrictions in countries on using cell phones while driving; this book considers several methods for addressing hands-free speech interaction in the car Several chapters have detailed descriptions of audio and multi-modal data resources for companies interested in working in the car environment; developing algorithms, etc. Includes supplementary material: sn.pub/extras