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Books > Computing & IT > Applications of computing > Artificial intelligence
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Automatic Speech Recognition - The Development of the SPHINX System (Paperback, Softcover reprint of the original 1st ed. 1989)
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Automatic Speech Recognition - The Development of the SPHINX System (Paperback, Softcover reprint of the original 1st ed. 1989)
Series: The Springer International Series in Engineering and Computer Science, 62
Expected to ship within 10 - 15 working days
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Speech Recognition has a long history of being one of the difficult
problems in Artificial Intelligence and Computer Science. As one
goes from problem solving tasks such as puzzles and chess to
perceptual tasks such as speech and vision, the problem
characteristics change dramatically: knowledge poor to knowledge
rich; low data rates to high data rates; slow response time
(minutes to hours) to instantaneous response time. These
characteristics taken together increase the computational
complexity of the problem by several orders of magnitude. Further,
speech provides a challenging task domain which embodies many of
the requirements of intelligent behavior: operate in real time;
exploit vast amounts of knowledge, tolerate errorful, unexpected
unknown input; use symbols and abstractions; communicate in natural
language and learn from the environment. Voice input to computers
offers a number of advantages. It provides a natural, fast, hands
free, eyes free, location free input medium. However, there are
many as yet unsolved problems that prevent routine use of speech as
an input device by non-experts. These include cost, real time
response, speaker independence, robustness to variations such as
noise, microphone, speech rate and loudness, and the ability to
handle non-grammatical speech. Satisfactory solutions to each of
these problems can be expected within the next decade. Recognition
of unrestricted spontaneous continuous speech appears unsolvable at
present. However, by the addition of simple constraints, such as
clarification dialog to resolve ambiguity, we believe it will be
possible to develop systems capable of accepting very large
vocabulary continuous speechdictation.
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