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The number of mixture components is 512.
Each state has 20 Gaussian mixture components.
A total of 67 Gaussian mixture components are present.
The n- and iso-paraffin mixture components did contain smaller quantities of undesired components; however, these mixture components were still deemed fit for use in the study.
The states for digit models are composed of 3 Gaussian mixture components while those for silence and short-pause models have 6 Gaussian mixture components, respectively.
The method permitted adequate resolution of the mixture components within reasonable run-time.
In this technique, the mixture components are classified with a fuzzy clustering algorithm.
Then we use the information from the mixture components to partition the histogram.
The number in the parenthesis represents the number of mixture components in GMMs for speaker identification.
In (5) and (6), the number of mixture components grows exponentially with time.
The number of mixture components in GMMs was all set to 512.
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