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Associating the origin and spread of sound change using agent-based modelling applied to /s/-retraction in English
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In: Glossa: A Journal of General Linguistics (2019)
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Tracking the New Zealand English NEAR/SQUARE merger using functional principal components analysis
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Associating the origin and spread of sound change using agent-based modelling applied to /s/-retraction in English
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In: Glossa: a journal of general linguistics; Vol 4, No 1 (2019); 8 ; 2397-1835 (2019)
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Predictability of the effects of phoneme merging on speech recognition performance by quantifying phoneme relations
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Machine Learning of Probabilistic Phonological Pronunciation Rules from the Italian CLIPS Corpus
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In: Proc. Interspeech (2013)
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Abstract:
A blending of phonological concepts and technical analysis is proposed to yield a better modeling and understanding of phonological processes. Based on the manual segmentation and labeling of the Italian CLIPS corpus we automatically derive a probabilistic set of phonological pronunciation rules: a new alignment technique is used to map the phonological form of spontaneous sentences onto the phonetic surface form. A machine-learning algorithm then calculates a set of phonologi- cal replacement rules together with their conditional probabilities. A critical analysis of the resulting probabilistic rule set is presented and discussed with regard to regional Italian accents. The rule set presented here is also applied in the newly published web-service WebMAUS that allows a user to segment and phonetically label Italian speech via a simple web-interface.
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Keyword:
ddc:410; Phonetik und Sprachverarbeitung
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URL: https://epub.ub.uni-muenchen.de/18046/1/SchielIS2013.pdf https://epub.ub.uni-muenchen.de/18046/ http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-18046-1 https://doi.org/10.5282/ubm/epub.18046
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Machine Learning of Probabilistic Phonological Pronunciation Rules from the Italian CLIPS Corpus ...
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Estimating Speaking Rate by Means of Rhythmicity Parameters
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Alcohol Language Corpus
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In: Language Resources and Evaluation (2011)
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