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.