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Google Translate as a tool for self-directed language learning
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van Lieshout, Catharina; Cardoso, Walcir. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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Impact of Segmentation and Annotation in French end-to-end Synthesis
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In: Proc. 11th ISCA Speech Synthesis Workshop (SSW 11) ; SSW 11th ISCA Speech Synthesis Workshop ; https://hal.archives-ouvertes.fr/hal-03362000 ; SSW 11th ISCA Speech Synthesis Workshop, Aug 2021, Budapest, Hungary. pp.13-18, ⟨10.21437/SSW.2021-3⟩ ; https://ssw11.hte.hu/ (2021)
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Könspreferens för instruerande TTS-synteser ; Gender Preference for Instructing TTS Synthesis
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Sustainable Development of EFL/ESL Learners’ Willingness to Communicate: The Effects of Teachers and Teaching Styles
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In: Sustainability; Volume 14; Issue 1; Pages: 396 (2021)
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Tipps für Deutsch als Fremdsprache Online. Deutsch als 1. und 2 Fremdsprache. Deutsch B, Deutsch C Onlinematerial für den Unterricht
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Tipps für Deutsch als Fremdsprache Online. Deutsch als 1. und 2 Fremdsprache. Deutsch B, Deutsch C Onlinematerial für den Unterricht
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Tipps für Deutsch als Fremdsprache Online. Deutsch als 1. und 2 Fremdsprache. Deutsch B, Deutsch C Onlinematerial für den Unterricht
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Tipps für Deutsch als Fremdsprache Online. Deutsch als 1. und 2 Fremdsprache. Deutsch B, Deutsch C Onlinematerial für den Unterricht
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| 11 |
Korean Prosody Phrase Boundary Prediction Model for Speech Synthesis Service in Smart Healthcare
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In: Electronics ; Volume 10 ; Issue 19 (2021)
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Assessing the quality of TTS audio in the LARA learning-by-reading platform
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In: ISBN: 9782490057979 ; CALL and professionalisation: short papers from EUROCALL 2021 pp. 1-5 (2021)
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Script optimization for TTS voice corpus design in audio-book generation ; Optimisation de script pour la conception de corpus vocaux de TTS dans la génération de livres audio
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In: https://tel.archives-ouvertes.fr/tel-03270968 ; Computation and Language [cs.CL]. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S107⟩ (2020)
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| 14 |
Introducing Prosodic Speaker Identity for a Better Expressive Speech Synthesis Control
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In: 10th International Conference on Speech Prosody 2020 ; https://hal.archives-ouvertes.fr/hal-03000148 ; 10th International Conference on Speech Prosody 2020, May 2020, Tokyo, Japan. pp.935-939, ⟨10.21437/speechprosody.2020-191⟩ (2020)
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Tipps für Deutsch als Fremdsprache Online. Deutsch als 1. und 2 Fremdsprache. Deutsch B, Deutsch C Onlinematerial für den Unterricht
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Controlling the voice quality dimension of prosody in synthetic speech using an acoustic glottal model
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MURPHY, ANDREW. - : Trinity College Dublin. School of Linguistic Speech & Comm Sci. C.L.C.S., 2020
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Challenges and Perspectives on Real-time Singing Voice Synthesis
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In: Revista de Informática Teórica e Aplicada; v. 27, n. 4 (2020); 118-126 ; 21752745 ; 01034308 (2020)
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Tipps für Deutsch als Fremdsprache Online. Deutsch als 1. und 2 Fremdsprache. Deutsch B, Deutsch C Onlinematerial für den Unterricht
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Duration modeling using DNN for Arabic speech synthesis
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In: 9th International Conference on Speech Prosody ; https://hal.inria.fr/hal-01889917 ; 9th International Conference on Speech Prosody, Jun 2018, Poznań, Poland (2018)
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Abstract:
International audience ; Duration modeling is a key task for every parametric speech synthesis system. Though such parametric systems have been adapted to many languages, no special attention was paid to explicitly handling Arabic speech characteristics. Actually, in Arabic phoneme duration has a distinctive role, because of consonant gemination and vowel quantity. Therefore, a precise modeling of sound durations is critical. In this paper we compare several modeling of phoneme durations (including duration modeling by HTS and MERLIN toolkits), and we propose a new approach which relies on using a set of models, each one being optimal for a given phoneme class (e.g., simple consonants, geminated consonants, short vowels, and long vowels). An objective evaluation carried out on a set of test sentences shows that the proposed approach leads to a more accurate modeling of the phoneme durations.
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Keyword:
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Arabic TTS; DNN; HTS; MERLIN; phoneme duration modeling
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URL: https://hal.inria.fr/hal-01889917/document
https://hal.inria.fr/hal-01889917
https://hal.inria.fr/hal-01889917/file/SP18_paper_78_version_final.pdf
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High-Coverage Multi-Level Text Corpus for Non-Professional Voice Conservation
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