DSP for In-Vehicle and Mobile Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Abut, Hüseyin (Editor), Hansen, John H.L (Editor), Takeda, Kazuya (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2005.
• Subjects: Engineering.; User interfaces (Computer systems).; Electrical engineering.; Signal, Image and Speech Processing.; User Interfaces and Human Computer Interaction.; Communications Engineering, Networks.

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,...

Table of Contents:

• 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.