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Modeling language change in English first names
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5243 ; 2473-8689 (2022)
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Back Vowel Dynamics and Distinctions in Southern American English ...
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Back Vowel Dynamics and Distinctions in Southern American English ...
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sj-pdf-1-eng-10.1177_00754242211043163 – Supplemental Material for Back Vowel Dynamics and Distinctions in Southern American English ...
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sj-pdf-1-eng-10.1177_00754242211043163 – Supplemental Material for Back Vowel Dynamics and Distinctions in Southern American English ...
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Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load
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In: Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01453014 ; Interspeech 2016, ISCA, Sep 2016, San Francisco, United States. pp.2433 - 2437, ⟨10.21437/Interspeech.2016-762⟩ ; http://www.interspeech2016.org/ (2016)
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Abstract:
International audience ; This work quantifies the phonological contrast between the Ro-manian central vowels [2] and [1], which are considered separate phonemes, although they are historical allophones with few minimal pairs. We consider the vowels' functional load within the Romanian inventory and the usefulness of the contrast for automatic speech recognition (ASR). Using a 7 hour corpus of automatically aligned broadcast speech, the relative frequencies of vowels are compared across phonological contexts. Results indicate a near complementary distribution of [2] and [1]: the contrast scores lowest of all pairwise comparisons on measures of functional load, and shows the highest Kullback-Leibler divergence , suggesting that few lexical distinctions depend on the contrast. Thereafter, forced alignment is performed using an existing ASR system. The system selects among [1], [2], ∅ for lexical /1/, testing for its reduction in continuous speech. The same data is transcribed using the ASR system where [2]/[1] are merged, testing the hypothesis that loss of a marginal contrast has little impact on ASR error rates. Both results are consistent with functional load calculations, indicating that the /2/-/1/ contrast is lexically and phonetically weak. These results show how automatic transcription tools can help test phonolog-ical predictions using continuous speech.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; automatic speech recognition; frequency distribution; functional load; marginal contrast; phonology; pronunciation variants; Romanian vowels
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URL: https://doi.org/10.21437/Interspeech.2016-762 https://hal.archives-ouvertes.fr/hal-01453014/document https://hal.archives-ouvertes.fr/hal-01453014 https://hal.archives-ouvertes.fr/hal-01453014/file/interspeech16_renwicketal.pdf
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Réalisation phonétique et contraste phonologique marginal : une étude automatique des voyelles du roumain
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In: JEP 2016 ; https://hal.archives-ouvertes.fr/hal-01452974 ; JEP 2016, Aug 2016, Paris, France (2016)
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A phonologically weak contrast can induce phonetic overlap
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In: Laboratory Phonology Conference ; https://hal.archives-ouvertes.fr/hal-01837204 ; Laboratory Phonology Conference, Jul 2016, Ithaca, United States (2016)
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Phonetic Distinctiveness vs. Lexical Contrastiveness in Non-Robust Phonemic Contrasts
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 7, No 1 (2016); 19 ; 1868-6354 (2016)
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Vowels of Romanian: Historical, Phonological and Phonetic Studies
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