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False Alarm Reduction Techniques for ASR and OCR

By Yaakov Stein


Techniques which may reduce the false alarm rate of sliding networks employed in ASR (automatic speech recognition) and OCR (optical character recognition) problems are reviewed. Such techniques include the use of hypersphere classifiers, training out of negatives, addition of garbage units, and exploitation of multiple networks. The combination of several techniques may reduce the false alarm rate to tolerable levels.

Year: 2008
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