Advances for In-Vehicle and Mobile Systems

Experiments on Decision Fusion for Driver Recognition.- Driver Recognition System Using FNN and Statistical Methods.- Driver Identification Based on Spectral Analysis of Driving Behavioral Signals.- An Artificial-Vision Based Environment Perception System.- Variable Time-Scale Multimedia Streaming Over 802.11 Inter-Vehicle Ad-hoc Networks.- A Configurable Distributed Speech Recognition System.- Embedded Mobile Phone Digit-Recognition.- On the Complexity-Performance Tradeoff of Two Active Noise Control Systems for Vehicles.- Comparative Studies on Single-Chanel De-Noising Schemes for In-Car Speech Enhancement.- Advances in Acoustic Noise Tracking for Robust In-Vehicle Speech Systems.- Speaker Source Localization Using Audio-Visual Data and Array Processing Based Speech Enhancement for In-Vehicle Environments.- Estimation of Active Speaker's Direction Using Particle Filters for In-Vehicle Environment.- Noise Reduction Based on Microphone Array and Post-Filtering for Robust Speech Recognition in Car Environments.- Ica-Based Technique in Air and Bone-Conductive Microphones for Speech Enhancement.- Acoustic Echo Reduction in a Two-Channel Speech Reinforcement System for Vehicles.- Noise Source Contribution of Accelerating Cars and Subjective Evaluations.- Study on Effect of Speaker Variability and Driving Conditions on the Performance of an ASR Engine Inside a Vehicle.- Towards Robust Spoken Dialogue Systems Using Large-Scale In-Car Speech Corpus.- Exploitation of Context Information for Natural Speech Dialogue Management in Car Environments.- Cross Platform Solution of Communication and Voice/Graphical User Interface for Mobile Devices in Vehicles.- A Study of Dialogue Management Principles Corresponding to the Driver's Workload.- Robust Multimodal Dialog Management forMobile Environments.

Digital Signal Processing for In-Vehicle and Mobile Systems II, the second volume on this topic, is organized to bring together the latest findings of scholars working on the latest techniques, standards, and emerging deployment in "the age of wireless communications and smart vehicular systems." As in the case of the popular first volume, the objective is to incorporate speech, video, image, vehicular sensory data, and wireless communication modalities to model the total behaviour of the driver and use that model towards personalization of the vehicle to provide a more comfortable and safer driving experience. The format of this book centers on four themes: driver and driving environment recognition, telecommunication applications, noise reduction and dialogue in vehicles. Digital Signal Processing for In-Vehicle and Mobile Systems II, is appropriate for researchers and professionals working in signal processing technologies, next generation vehicle design and networks for mobile platforms.