Abstract
This paper presents a constraint-based model for the interpretation of multilinear representations of speech utterances which can provide important fine-grained information for speech recognition applications. The model uses explicit structural constraints specifying time maps—overlap and precedence relations between features in both the phonological and the phonetic domains—in order to recognize well-formed syllable structures. In the phonological domain, these constraints together form a complete phonotactic description of the language, while in the phonetic domain, the constraints define the internal structure of phonological features based on phonetic realisations. The constraints are enhanced by a constraint relaxation procedure to cater for underspecified input and allow output representations to be extrapolated based on the phonetic and phonological information contained in the constraints and the rankings which have been assigned to them. This approach thus describes the integration of explicit phonetic knowledge into a computational linguistic model to improve robustness in speech recognition.
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Carson-Berndsen, J., Walsh, M. (2005). Phonetic Time Maps. In: Barry, W.J., van Dommelen, W.A. (eds) The Integration of Phonetic Knowledge in Speech Technology. Text, Speech and Language Technology, vol 25. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2637-4_4
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DOI: https://doi.org/10.1007/1-4020-2637-4_4
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