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Know-Center GmbH, Isolated Letter Speech Recognition
Isolated Letter Speech Recognition
Creative Commons CCZero (CC0-1.0), Open Data Commons Public Domain Dedication and Licence (PDDL-1.0)
Population and Society, Science and Technology
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* Please note that the classification is taken from the original source
ISOLET (Isolated Letter Speech Recognition) dataset was generated as follows: 150 subjects spoke the name of each letter of the alphabet twice. Hence, there are 52 training examples from each speaker. The speakers are grouped into sets of 30 speakers each, 4 groups can serve as training set, the last group as the test set. A total of 3 examples are missing, the authors dropped them due to difficulties in recording.
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