TY - GEN
T1 - Alife-based classifier for automatic speech recognition
AU - Salaja, Rosemary T.
AU - Flynn, Ronan
AU - Russell, Michael
N1 - Publisher Copyright:
© (2014) Trans Tech Publications, Switzerland.
PY - 2014
Y1 - 2014
N2 - Research in speech recognition has produced different approaches that have been used for the classification of speech utterances in the back-end of an automatic speech recognition (ASR) system. As speech recognition is a pattern recognition problem, classification is an important part of any speech recognition system. This paper proposes a new back-end classifier that is based on artificial life (ALife) and describes how the proposed classifier can be used in a speech recognition system.
AB - Research in speech recognition has produced different approaches that have been used for the classification of speech utterances in the back-end of an automatic speech recognition (ASR) system. As speech recognition is a pattern recognition problem, classification is an important part of any speech recognition system. This paper proposes a new back-end classifier that is based on artificial life (ALife) and describes how the proposed classifier can be used in a speech recognition system.
KW - Artificial Life
KW - Automatic Speech Recognition
UR - http://www.scopus.com/inward/record.url?scp=84920780965&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.679.189
DO - 10.4028/www.scientific.net/AMM.679.189
M3 - Conference contribution
AN - SCOPUS:84920780965
SN - 9783038352792
T3 - Applied Mechanics and Materials
SP - 189
EP - 193
BT - Engineering and Technology Research
A2 - Abdullah, Mohd Mustafa Al Bakri
A2 - Jamaludin, Liyana
A2 - Tahir, Muhammad Faheem Mohd
A2 - Hassan, Mohd Najmuddin Mohd
PB - Trans Tech Publications Ltd
T2 - 4th International Malaysia-Ireland Joint Symposium on Engineering, Science and Business, IMiEJS 2014
Y2 - 25 June 2014 through 26 June 2014
ER -