@inproceedings{3eedfde27e90401dbb9f05ec928719c6,
title = "Evaluation of wains as a classifier for automatic speech recognition",
abstract = "This paper introduces a new back-end classifier for a speech recognition system that is based on artificial life (ALife). The ALife species being used for classification purposes are called wains, which were developed using the Cr{\'e}at{\'u}r framework. The speech recognition task used in the evaluation of the new classifier is that of isolated digit recognition. Performance of the proposed back-end classifier is benchmarked for comparison purposes against a hidden Markov model (HMM)-based classifier. Mel frequency cepstral coefficients extracted from the speech by a front-end processor are used by the two back-ends for classification of the speech utterances. In tests carried out to date, the performance of the proposed classifier falls short of the performance of the HMM-based classifier. However, the results suggest that with further training the recognition accuracy of the proposed classifier can be significantly improved.",
keywords = "Artificial Life, Automatic Speech Recognition, Cr{\'e}at{\'u}r, Wains",
author = "Salaja, {Rosemary T.} and Ronan Flynn and Michael Russell",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 26th Irish Signals and Systems Conference, ISSC 2015 ; Conference date: 24-06-2015 Through 25-06-2015",
year = "2015",
month = jul,
day = "21",
doi = "10.1109/ISSC.2015.7163770",
language = "English",
isbn = "9781467369749",
series = "2015 26th Irish Signals and Systems Conference, ISSC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 26th Irish Signals and Systems Conference, ISSC 2015",
address = "United States",
}