Abstract
In our research we argue for the benefits that an artificial language could provide to improve the accuracy of speech recognition. We briefly present the design and implementation of a vocabulary of our intended artificial language (ROILA), the latter by means of a genetic
algorithm that attempted to generate words which would have low likelihood of being confused by a speech recognizer. Lastly we discuss the methodology and results of two word spotting experiments that were carried out to evaluate if indeed the vocabulary of ROILA achieved better recognition than English. Our results reveal that our initial vocabulary was not significantly better than English but when the vocabulary was modified to include CV-type words only, the vocabulary nearly significantly outperformed English.
Original language | English |
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Title of host publication | Proceedings of the 28th of the International Conference extended abstracts on Human factors in computing systems, April 10-15, 2010, Atlanta, Georgia |
Publisher | Association for Computing Machinery, Inc |
Pages | 3289-3294 |
ISBN (Print) | 978-1-60558-930-5 |
DOIs | |
Publication status | Published - 2010 |
Event | 28th Annual CHI Conference on Human Factors in Computing Systems - Florence, Italy Duration: 5 Apr 2008 → 10 Apr 2008 Conference number: 28 http://www.chi2010.org/ |
Conference
Conference | 28th Annual CHI Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2010 |
Country | Italy |
City | Florence |
Period | 5/04/08 → 10/04/08 |
Internet address |