@inproceedings{08015c38857a4c27b0a2c6f4830aeeb8,
title = "Automatic speech recognition using artificial life",
abstract = "After years of research activity, the machine recognition performance of speech still does not match human performance. As speech recognition is a pattern recognition problem, classification is an important part of any speech recognition system. This paper, briefly reviews a number of classification methods that have been used in automatic speech recognition systems and proposes a new back-end classifier that is based on artificial life. The paper describes how the proposed classifier can be used in a speech recognition system.",
keywords = "Artificial life, Automatic speech recognition",
author = "Salaja, {Rosemary T.} and Ronan Flynn and Michael Russell",
year = "2014",
doi = "10.1049/cp.2014.0665",
language = "English",
isbn = "9781849199247",
series = "IET Conference Publications",
publisher = "Institution of Engineering and Technology",
number = "CP639",
pages = "91--95",
booktitle = "IET Conference Publications",
address = "United Kingdom",
edition = "CP639",
note = "25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014 ; Conference date: 26-06-2014 Through 27-06-2014",
}