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DSP for In-Vehicle and Mobile Systems [electronic resource] / edited by Hüseyin Abut, John H.L. Hansen, Kazuya Takeda.

By: Abut, Hüseyin [editor.].
Contributor(s): Hansen, John H.L [editor.] | Takeda, Kazuya [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Boston, MA : Springer US, 2005Description: XV, 313 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387229799.Subject(s): Engineering | Computer science | Telecommunication | Engineering | Signal, Image and Speech Processing | User Interfaces and Human Computer Interaction | Communications Engineering, NetworksDDC classification: 621.382 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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