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Books > Science & Mathematics > Physics > Classical mechanics > Sound, vibration & waves (acoustics)
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Acoustical and Environmental Robustness in Automatic Speech Recognition (Hardcover, 1993 ed.)
Loot Price: R4,466
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Acoustical and Environmental Robustness in Automatic Speech Recognition (Hardcover, 1993 ed.)
Series: The Springer International Series in Engineering and Computer Science, 201
Expected to ship within 10 - 15 working days
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The need for automatic speech recognition systems to be robust with
respect to changes in their acoustical environment has become more
widely appreciated in recent years, as more systems are finding
their way into practical applications. Although the issue of
environmental robustness has received only a small fraction of the
attention devoted to speaker independence, even speech recognition
systems that are designed to be speaker independent frequently
perform very poorly when they are tested using a different type of
microphone or acoustical environment from the one with which they
were trained. The use of microphones other than a "close talking"
headset also tends to severely degrade speech recognition
-performance. Even in relatively quiet office environments, speech
is degraded by additive noise from fans, slamming doors, and other
conversations, as well as by the effects of unknown linear
filtering arising reverberation from surface reflections in a room,
or spectral shaping by microphones or the vocal tracts of
individual speakers. Speech-recognition systems designed for
long-distance telephone lines, or applications deployed in more
adverse acoustical environments such as motor vehicles, factory
floors, oroutdoors demand far greaterdegrees ofenvironmental
robustness. There are several different ways of building acoustical
robustness into speech recognition systems. Arrays of microphones
can be used to develop a directionally-sensitive system that
resists intelference from competing talkers and other noise sources
that are spatially separated from the source of the desired speech
signal."
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