Connectionist Bench (Vowel Recognition - Deterding Data)
Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios.
Dataset Characteristics
-
Subject Area
Other
Associated Tasks
Classification
Feature Type
Real
# Instances
528
# Features
10
Dataset Information
Additional Information
The problem is specified by the accompanying data file, "vowel.data". This consists of a three dimensional array: voweldata [speaker, vowel, input]. The speakers are indexed by integers 0-89. (Actually, there are fifteen individual speakers, each saying each vowel six times.) The vowels are indexed by integers 0-10. For each utterance, there are ten floating-point input values, with array indices 0-9. The problem is to train the network as well as possible using only on data from "speakers" 0-47, and then to test the network on speakers 48-89, reporting the number of correct classifications in the test set. For a more detailed explanation of the problem, see the excerpt from Tony Robinson's Ph.D. thesis in the COMMENTS section. In Robinson's opinion, connectionist problems fall into two classes, the possible and the impossible. He is interested in the latter, by which he means problems that have no exact solution. Thus the problem here is not to see how fast a network can be trained (although this is important), but to maximise a less than perfect performance.
Has Missing Values?
No
Dataset Files
| File | Size |
|---|---|
| vowel-context.data | 71.8 KB |
| vowel.data | 60.1 KB |
| vowel.tr-orig-order | 34.5 KB |
| vowel.names | 15.9 KB |
| vowel-context.names | 2.1 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset connectionist_bench_vowel_recognition_deterding_data = fetch_ucirepo(id=152) # data (as pandas dataframes) X = connectionist_bench_vowel_recognition_deterding_data.data.features y = connectionist_bench_vowel_recognition_deterding_data.data.targets # metadata print(connectionist_bench_vowel_recognition_deterding_data.metadata) # variable information print(connectionist_bench_vowel_recognition_deterding_data.variables)
Deterding, D., Niranjan, M., & Robinson, T. (1988). Connectionist Bench (Vowel Recognition - Deterding Data) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C58P4S.
Creators
David Deterding
Mahesan Niranjan
Tony Robinson
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.