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Speechreading by Humans and Machines: Models, Systems, and Applications (NATO ASI Series / Computer and Systems Sciences)
 
 
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Speechreading by Humans and Machines: Models, Systems, and Applications (NATO ASI Series / Computer and Systems Sciences) [Hardcover]

David G. Stork (Editor), Marcus E. Hennecke (Editor)
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Book Description

September 30, 1996 3540612645 978-3540612643 1
This is the first comprehensive book on the interdisciplinary study of speechreading (lipreading) -- production, perception and learning -- by both humans and machines. It is the product of the largest-ever gathering of scientists devoted to the subject, at a NATO workshop held in France in 1995. The research presented explores and promotes the incorporation of visual information into automatic speech recognizers for improved recognition accuracy (especially in noisy environments), and draws on and further elucidates knowledge of the psychology of speechreading by humans. The book is a milestone along the path to more accurate speech based interfaces, as well as to deeper understanding of fundamental mechanisms of human perception and speech recognition.

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Product Details

  • Hardcover: 701 pages
  • Publisher: Springer; 1 edition (September 30, 1996)
  • Language: English
  • ISBN-10: 3540612645
  • ISBN-13: 978-3540612643
  • Product Dimensions: 9.4 x 6.3 x 1.2 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #6,655,256 in Books (See Top 100 in Books)

More About the Author

Dr. David G. Stork is Chief Scientist of Ricoh Innovations and has held faculty appointments in eight disciplines and programs: Physics, Mathematics, Computer Science, Electrical Engineering, Statistics, Neuroscience, Psychology and Art and Art History variously at Wellesley College, Swarthmore College, Clark U., Boston U. and Stanford U. He holds at least 39 US patents and has published nearly 200 technical works including five books and two proceedings volumes. He graduated in physics from the Massachusetts Institute of Technology and University of Maryland, College Park, and studied art history at Wellesley College. He was co-creator of the PBS television documentary, "2001: HAL's Legacy," comparing the computer science visions in the 1968 film "2001: A Space Odyssey" with actual developments in computer science, all in the namesake year. He's lectured at universities, conferences and museums on computer image analysis of art. He is also an accomplished orchestral musician and is heard on several professional compact disks.

 

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5.0 out of 5 stars a wonderful offering, December 8, 2009
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mindy (san francisco) - See all my reviews
This review is from: Speechreading by Humans and Machines: Models, Systems, and Applications (NATO ASI Series / Computer and Systems Sciences) (Hardcover)
The first book in the interdisciplinary study of 'lipreading' (speechreading or visible speech) by both humans and machines.
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Inside This Book (learn more)
First Sentence:
It is known that visual information from the face, tongue, and lip-movements of a talker provides information about the spoken message and enhances the intelligibility of speech (Binnie et al., 1974; Summerfield, 1979). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
phonemic equivalence classes, visual kinematic information, viseme categories, bimodal speech perception, consonant visemes, auditory intelligibility, lexical equivalence classes, visual speech information, audiovisual speech integration, incongruent tokens, visual phonetic information, fusion tokens, coded speech data, auditory tokens, inner lip contour, speech hypotheses, speechreading performance, decoded speech signal, perceptual encoding stage, tonal analog, articulatory estimation, audiovisual speech perception, viseme class, channel separability, coarticulatory variations
Key Phrases - Capitalized Phrases (CAPs): (learn more)
David Stork, Dominic Massaro, Magno Caldognetto, Lynne Bernstein, Document Type, Exemplary Claim, Michael Cohen, Priority Applic, Assignee Code, Kathleen Pichora-Fuller, Oscar Garcia, Eric Petajan, Jordi Robert-Ribes, Juergen Luettin, Marcus Hennecke, Paul Bertelson, Christian Benoit, Javier Movellan, Eric Bateson, Michael Brooke, University of California, Christian Abry, Direct Identification Model, Timing-Target Model, Institut de la Communication
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