Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Eric D. Petajan"'
Autor:
George J. Kustka, Eric D. Petajan, Scott Carroll Knauer, Robert J. Safranek, Kim Nigel Matthews, Arun N. Netravali, Alireza Farid Faryar
Publikováno v:
IEEE Transactions on Consumer Electronics. 38:325-340
A high-quality digital video codec has been developed for the Zenith/AT&T HDTV system. It adaptively selects between two transmission modes with differing rates and robustness. The codec works on an image progressively scanned with 1575 scan lines ev
Autor:
Kim Nigel Matthews, Eric D. Petajan, Scott Carroll Knauer, Peter H. Westerink, Arun N. Netravali, Robert J. Safranek
Publikováno v:
Proceedings of the Seventh Workshop on Multidimensional Signal Processing.
Publikováno v:
Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.
We describe a continuous optical automatic speech recognizer (OASR) that uses optical information from the oral-cavity shadow of a speaker. The system achieves a 25.3 percent recognition on sentences having a perplexity of 150 without using any synta
Autor:
Arun N. Netravali, Robert J. Safranek, Scott Carroll Knauer, Eric D. Petajan, Kim Nigel Matthews, Peter H. Westerink
Publikováno v:
[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.
A digital video codec has been developed for the Zenith/AT&T HDTV (high-definition TV) system for terrestrial broadcast over NTSC taboo channels. The codec works on an image progressively scanned with 1575 scan lines every 1/30th of a second and achi
Publikováno v:
Computational Imaging and Vision ISBN: 9789048148707
This study describes the design and implementation of a novel continuous speech recognizer that uses optical information from the oral-cavity shadow of a speaker. The system uses hidden Markov models (HMMs) trained to discriminate optical information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fc0174f7c5b6bbde163ed4777039d6b
https://doi.org/10.1007/978-94-015-8935-2_14
https://doi.org/10.1007/978-94-015-8935-2_14
Publikováno v:
Speechreading by Humans and Machines ISBN: 9783642082528
We describe a methodology to automatically identify visemes and to determine important oral-cavity features for a speaker dependent, optical continuous speech recognizer. A viseme, as defined by Fisher (1968), represents phones that contain optically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580f2158ec47b83ac604abefee43f824
https://doi.org/10.1007/978-3-662-13015-5_39
https://doi.org/10.1007/978-3-662-13015-5_39
Autor:
Eric D. Petajan, Hans Peter Graf
Publikováno v:
Multimedia Communications and Video Coding ISBN: 9781461380368
Acoustic automatic speech recognition (ASR) systems tend to perform poorly with noisy speech. Unfortunately, most application environments contain noise from machines, vehicles, others talking, typing, television, sound systems, etc. In addition, sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4deba305fc30e5d36813d3e468840d76
https://doi.org/10.1007/978-1-4613-0403-6_33
https://doi.org/10.1007/978-1-4613-0403-6_33
Autor:
Eric D. Petajan
Publikováno v:
SPIE Proceedings.
Terrestrial broadcast television in the United States has remained essentially unchanged in the last fifty years except for the addition of color and stereo sound. Today, personal computers are addressing the need for random access of high resolution
Autor:
Eric D. Petajan, Barry G. Haskell, Yao Wang, Homer H. Chen, Wu Chou, Tsuhan Chen, Hans Peter Graf
Publikováno v:
SPIE Proceedings.
We utilize speech information to improve the quality of audio-visual communications such as video telephony and videoconferencing. We show that the marriage of speech analysis and image processing can solve problems related to lip synchronization. We
Autor:
Eric D. Petajan, John N. Mailhot
Publikováno v:
SPIE Proceedings.
The Grand Alliance was formed to define and contrast a system for the delivery of HDTV using terrestrial broadcast channels. This system is composed of the best components from previously competing systems before the FCC. MPEG-2 syntax is used with n