000			04090nam a22004455i 4500
001			978-0-387-22979-9
003			DE-He213
005			20250710083926.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387229799 _a99780387229799
024	7		_a10.1007/b100283 _2doi
082	0	4	_a621.382 _223
100	1		_aAbut, Hüseyin. _eeditor.
245	1	0	_aDSP for In-Vehicle and Mobile Systems _h[recurso electrónico] / _cedited by Hüseyin Abut, John H.L. Hansen, Kazuya Takeda.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXV, 313 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_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 -- 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.
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	_aENGINEERING.
650		0	_aCOMPUTER SCIENCE.
650		0	_aTELECOMMUNICATION.
650	1	4	_aENGINEERING.
650	2	4	_aSIGNAL, IMAGE AND SPEECH PROCESSING.
650	2	4	_aUSER INTERFACES AND HUMAN COMPUTER INTERACTION.
650	2	4	_aCOMMUNICATIONS ENGINEERING, NETWORKS.
700	1		_aHansen, John H.L. _eeditor.
700	1		_aTakeda, Kazuya. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387229782
856	4	0	_uhttp://dx.doi.org/10.1007/b100283 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c56124 _d56124