Articulatory feature based continuous speech recognition using probabilistic lexical modeling
نویسندگان
چکیده
منابع مشابه
Articulatory feature based continuous speech recognition using probabilistic lexical modeling
Phonological studies suggest that the typical subword units such as phones or phonemes used in automatic speech recognition systems can be decomposed into a set of features based on the articulators used to produce the sound. Most of the current approaches to integrate articulatory feature (AF) representations into an automatic speech recognition (ASR) system are based on deterministic knowledg...
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Automatic speech recognition (ASR) systems incorporate expert knowledge of language or the linguistic expertise through the use of phone pronunciation lexicon (or dictionary) where each word is associated with a sequence of phones. The creation of phone pronunciation lexicon for a new language or domain is costly as it requires linguistic expertise, and includes time and money. In this thesis, ...
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In this paper we show that there is measurable information in the articulatory system which can help to disambiguate the acoustic signal. We measure directly the movement of the lips, tongue, jaw, velum and larynx and parameterise this articulatory feature space using principal components analysis. The parameterisation is developed and evaluated using a speaker dependent phone recognition task ...
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ژورنال
عنوان ژورنال: Computer Speech & Language
سال: 2016
ISSN: 0885-2308
DOI: 10.1016/j.csl.2015.04.003