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020 _a9780387459769
_99780387459769
024 7 _a10.1007/9780387459769
_2doi
035 _avtls000331473
039 9 _a201509030731
_bVLOAD
_c201404121847
_dVLOAD
_c201404091615
_dVLOAD
_c201401311416
_dstaff
_y201401301210
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTK5102.9
100 1 _aAbut, Héseyin.
_eeditor.
_9305276
245 1 0 _aAdvances for In-Vehicle and Mobile Systems :
_bChallenges for International Standards /
_cedited by Héseyin Abut, John H. L. Hansen, Kazuya Takeda.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _axvI, 284 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aExperiments 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 for Mobile Environments.
520 _aAdvances for In-Vehicle and Mobile Systems: Challenges for International Standards is organized to bring together the most active scholars working on the latest techniques, standards, and emerging deployment on "living in the age of wireless communications and smart vehicular systems." The objective is to incorporate speech, dialog, video, image, vehicular sensory data, and wireless communication modalities to model the total behavior of the driver and use that model towards personalization of the vehicle to provide a more comfortable and safer driving experience. The format of this work centers on four themes: driver and driving environment recognition, telecommunication applications, noise reduction, and dialog in vehicles. Advances for In-Vehicle and Mobile Systems: Challenges for International Standards is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aHansen, John H. L.
_eeditor.
_9304004
700 1 _aTakeda, Kazuya.
_eeditor.
_9300436
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387335032
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-45976-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c280377
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