ISOLET

Donated on 9/11/1994

Goal: Predict which letter-name was spoken--a simple classification task.

Dataset Characteristics

Multivariate

Subject Area

Computer Science

Associated Tasks

Classification

Feature Type

Real

# Instances

7797

# Features

617

Dataset Information

Additional Information

This data set was generated as follows. 150 subjects spoke the name of each letter of the alphabet twice. Hence, we have 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. You will note that 3 examples are missing. I believe they were dropped due to difficulties in recording. I believe this is a good domain for a noisy, perceptual task. It is also a very good domain for testing the scaling abilities of algorithms. For example, C4.5 on this domain is slower than backpropagation! I have formatted the data for C4.5 and provided a C4.5-style names file as well.

Has Missing Values?

No

Introductory Paper

Spoken letter recognition

By Fanty, M., Cole, R.. 1991

Published in Advances in Neural Information Processing Systems 3

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
Attribute1FeatureContinuousno
Attribute2FeatureContinuousno
Attribute3FeatureContinuousno
Attribute4FeatureContinuousno
Attribute5FeatureContinuousno
Attribute6FeatureContinuousno
Attribute7FeatureContinuousno
Attribute8FeatureContinuousno
Attribute9FeatureContinuousno
Attribute10FeatureContinuousno

0 to 10 of 618

Additional Variable Information

The features are described in the paper by Cole and Fanty cited above. The features include spectral coefficients; contour features, sonorant features, pre-sonorant features, and post-sonorant features. Exact order of appearance of the features is not known.

Baseline Model Performance

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Creators

Ron Cole

Mark Fanty

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