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Although the focus of this paper is on feature extraction, our work also investigates different ways of combining the HMM framework with the proposed front-end processing.
This includes a 61% decrease in front-end processing time.
Hence the reduction in front-end processing achieved in the GPU implementation is significant.
The typical Front-End processing is applied to the composite speech in order to obtain time frequency units.
Various acoustic model adaptation schemes were also found effective when jointly used with front-end processing including dereverberation.
In the GPU implementation, front-end processing accounts for 8%and10%0% of the total computing times during training and recognition, respectively.
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Milling of industrial beets is the primary step in front end processing for ethanol production.
Moreover, filtering operation of these front-end processings are completely linear so that they did not introduce unfavorable nonlinear distortion to the processed signal.
A significant consequence is that Natural Language understanding in the context of behavior cannot simply be treated as "front end" processing, but rather must be integrated more deeply into the processes that guide an agent's behavior and respond to its perceptions.
These will cover material aspects for front end processing, interconnect, lithography, and new devices.
The R&D objectives on new sensors, new front end processing of the signal, and the related mechanical and integration challenges for building such large detectors within the proposed detector concepts are described.
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