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Overview:
A speech recognizer must compare language spoken into a microphone
or telephone to models of how that language should sound when
spoken. These models are called acoustic models because
they represent numerically how language sounds. Thus, the
recognizer decodes words and phrases by comparing the measurements
of how they sound when spoken to the measurements in the acoustic
models. This section explains how to create different types of
acoustic models, including word and phone models. It describes how
to refine these models through initialization, training, mixture
splitting, and state-tying, using our software.
Contents:
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