000			03262cam a22002174a 4500
001			vtls000003683
003			VRT
005			20250102225212.0
008			081228s2005 nyua |bn 011 0 eng
020			_a0387229787 (alk. paper)
039		9	_a201402040118 _bVLOAD _c201006271238 _dmalmash _c200812280834 _dNoora _c200812280832 _dNoora _y200812280831 _zNoora
050	0	0	_aTL272.58 _b.D778 2005
245	0	0	_aDSP for in-vehicle and mobile systems / _cedited by Hüseyin Abut, John H.L. Hansen, Kazuya Takeda.
260			_aNew York : _bSpringer _cc2005.
300			_axv, 313 p. : _bill. ; _c25 cm.
505			_aConstruction 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.- 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.
520			_aDSP 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.
650		0	_aAutomotive telematics. _954201
650		0	_aSignal processing _xDigital techniques. _925565
942			_2lcc _n0 _cBK
999			_c26217 _d26217