Abstract
This paper presents a new approach to automatic recognition of spoken words. After discussing the demands upon appropriate subword units and reporting some experiments in using phone superclasses for word recognition we will develop techniques of robust classification, segmentation, and lexical access, utilizing binary phonetic features as processing units.
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© 1988 Springer-Verlag Berlin Heidelberg
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Schukat-Talamazzini, E.G. (1988). Robust Features for Word Recognition. In: Niemann, H., Lang, M., Sagerer, G. (eds) Recent Advances in Speech Understanding and Dialog Systems. NATO ASI Series, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83476-9_28
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DOI: https://doi.org/10.1007/978-3-642-83476-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83478-3
Online ISBN: 978-3-642-83476-9
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