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Isolet

Introduced by Mark A. Fanty et al. in Spoken Letter Recognition

Isolet is an audio dataset for predicting which letter-name was spoken. The dataset was generated as follows. 150 subjects spoke the name of each letter of the alphabet twice, resulting in 52 training examples from each speaker. The speakers are grouped into sets of 30 speakers each, and are referred to as isolet1, isolet2, isolet3, isolet4, and isolet5. The data appears in isolet1+2+3+4.data in sequential order, first the speakers from isolet1, then isolet2, and so on. The test set, isolet5, is a separate file.

Source: UCI Machine Learning Repository Isolet

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