DSP for In-Vehicle and Mobile Systems
(Sprache: Englisch)
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...
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Klappentext zu „DSP for In-Vehicle and Mobile Systems “
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.
Inhaltsverzeichnis zu „DSP for In-Vehicle and Mobile Systems “
- 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
- 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
Bibliographische Angaben
- 2014, 2005, XV, 313 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Huseyin Abut, John Hansen, Kazuya Takeda
- Verlag: Springer, Berlin
- ISBN-10: 1489973907
- ISBN-13: 9781489973900
Sprache:
Englisch
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