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Glottal Stops in Upper Sorbian: A Data-Driven Approach
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In: Fraunhofer IKTS (2021)
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Abstract:
We present a data-driven approach for the quantitative analysis of glottal stops before word-initial vowels in Upper Sorbian, a West Slavic minority language spoken in Germany. Glottal stops are word-boundary markers and their detection can improve the performance of automatic speech recognition and speech synthesis systems.We employed cross-language transfer using an acoustic model in German to develop a forced-alignment method for the phonetic segmentation of a read-speech corpus in Upper Sorbian. The missing phonemic units were created by combining the existing phoneme models. In the forced-alignment procedure, the glottal stops were considered optional in front of word-initial vowels.To investigate the influence of speaker type (males, females, and children) and vowel on the occurren ce of glottal stops, binomial regression analysis with a generalized linear mixed model was performed. Results show that children glottalize word-initial vowels more frequently than adults, and that glottal stop occurrences are influenced by vowel quality.
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Keyword:
acoustic modeling; glottal stops; under-resourced languages
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URL: https://doi.org/10.21437/Interspeech.2021-1101 http://publica.fraunhofer.de/documents/N-640392.html
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2 |
Automatic phonetic classification of vocalic allophones in Tol
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 403–410 ; 2473-8689 (2021)
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Spoken word corpus and dictionary definition for an African language
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02912202 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Special Issue on Collecting, Preserving, and Disseminating Endangered Cultural Heritage for New Understandings through Multilingual Approaches (2020)
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Leveraging orthographic information to improve machine translation of under-resourced languages
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Cardamom: Comparative deep models for minority and historical languages
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Preserving Endangered European Cultural Heritage and Languages Through Translated Literary Texts
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In: First International ConferenceLanguage Technologies for All (LT4All): Enabling Language Diversity & Multilingualism Worldwide ; https://hal.archives-ouvertes.fr/hal-03086002 ; First International ConferenceLanguage Technologies for All (LT4All): Enabling Language Diversity & Multilingualism Worldwide, Dec 2019, Paris, France (2019)
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A Sustainable and Open Access Knowledge Organization Model to Preserve Cultural Heritage and Language Diversity
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In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-02565134 ; Information, MDPI, 2019, 10 (10), pp.303. ⟨10.3390/info10100303⟩ (2019)
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Translation-Based Dictionary Alignment for Under-Resourced Bantu Languages
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Eckart, Thomas; Bosch, Sonja; Goldhahn, Dirk. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages
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WordNet gloss translation for under-resourced languages using multilingual neural machine translation
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MiNgMatch—A Fast N-gram Model for Word Segmentation of the Ainu Language
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In: Information ; Volume 10 ; Issue 10 (2019)
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A Sustainable and Open Access Knowledge Organization Model to Preserve Cultural Heritage and Language Diversity
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In: Information ; Volume 10 ; Issue 10 (2019)
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Crowdsourcing Model for Multilingual Corpus and Knowledge Construction: The Case of Transnational Mark Twain
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In: ISSN: 0324-8194 ; ZIN. Issues in Information Science. Information Studies ; https://hal.archives-ouvertes.fr/hal-01868242 ; ZIN. Issues in Information Science. Information Studies, 2018, 56 (1), pp.21-32 ; http://www.sbp.pl/en/article/?cid=3449&prev=467 (2018)
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