A Life-Based Classifier for Automatic Speech Recognition

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 679)
• Pages: 189-193
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.679.189
• Online since: October 2014
• Authors: Rosemary T. Salaja*, Ronan Flynn, Michael Russell
• Keywords: Artificial Life, Automatic Speech Recognition

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