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This paper describes and analyzes several exemplar selection techniques to reduce the number of exemplars that are used in a recently proposed sparse representations-based speech recognition system. Exemplars are labeled acoustic realizations of different durations which are extracted from the training data. For practical reasons, they are organized in multiple undercomplete dictionaries, each containing...
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