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101
Articulatory speech synthesis ; Synthèse articulatoire de la parole
Tsukanova, Anastasiia. - : HAL CCSD, 2019
In: https://hal.archives-ouvertes.fr/tel-02433528 ; Computation and Language [cs.CL]. Université de Lorraine, 2019. English. ⟨NNT : 2019LORR0166⟩ (2019)
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102
The Zero Resource Speech Challenge 2019: TTS without T
In: Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02274112 ; Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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103
Modeling Labial Coarticulation with Bidirectional Gated Recurrent Networks and Transfer Learning
In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02175780 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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104
Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis
In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02175776 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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105
Features of the formation of competitive stability of enterprises of rural green tourism on the principles of marketing ...
DANYLO, S.I.. - : Zenodo, 2019
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106
Features of the formation of competitive stability of enterprises of rural green tourism on the principles of marketing ...
DANYLO, S.I.. - : Zenodo, 2019
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107
Short-Term International Experiences in Language Teacher Education: A Qualitative Meta-Synthesis
In: Australian Journal of Teacher Education (2019)
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108
Cap-Independent mRNA Translation in Germ Cells
In: International Journal of Molecular Sciences ; Volume 20 ; Issue 1 (2019)
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109
Improving reporting of meta-ethnography: The eMERGe reporting guidance
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110
The views and experiences of suicidal children and young people of mental health support services: A meta-ethnography.
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111
create_vtl_corpus: Synthesizing a speech corpus with VocalTractLab ...
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112
Listening-test materials for "Modern speech synthesis for phonetic sciences: a discussion and an evaluation" ...
Unkn Unknown. - : University of Edinburgh. School of Informatics. Centre for Speech Technology Research (CSTR), 2019
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113
CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92) ...
Unkn Unknown. - : University of Edinburgh. The Centre for Speech Technology Research (CSTR), 2019
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114
The Neo-Darwinian ideology
Francisc Gafton 1; Adina Chirilă 2. - : Diacronia, 2019
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115
Линия, цвет, слово: символы эпохи в работах молодых исследователей культуры ... : LINE, COLOR, WORD: EPOCH SYMBOLS IN YOUNG CULTURAL RESEARCHERS’ STUDIES ...
Ревзина Юлия Евгеньевна; Оганесян Сергей Саядович. - : Электронное научное издание Альманах Пространство и Время, 2019
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116
Cap-Independent mRNA Translation in Germ Cells
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117
Facial re-enactment, speech synthesis and the rise of the Deepfake
In: Theses : Honours (2019)
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118
Trans-acting translational regulatory RNA binding proteins.
Harvey, RF; Smith, TS; Mulroney, T. - : Wiley, 2019
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119
Exploring Efficient Neural Architectures for Linguistic–Acoustic Mapping in Text-To-Speech
In: Applied Sciences ; Volume 9 ; Issue 16 (2019)
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120
Speech Synthesis in the Translation Revision Process: Evidence from Error Analysis, Questionnaire, and Eye-Tracking
In: Informatics ; Volume 6 ; Issue 4 (2019)
Abstract: Translation revision is a relevant topic for translator training and research. Recent technological developments justify increased focus on embedding speech technologies&mdash ; speech synthesis (text-to-speech) and speech recognition (speech-to-text)&mdash ; into revision workflows. Despite some integration of speech recognition into computer-assisted translation (CAT)/translation environment tools (TEnT)/Revision tools, to date we are unaware of any CAT/TEnT/Revision tool that includes speech synthesis. This paper addresses this issue by presenting initial results of a case study with 11 participants exploring if and how the presence of sound, specifically in the source text (ST), affects revisers&rsquo ; revision quality, preference and viewing behaviour. Our findings suggest an improvement in revision quality, especially regarding Accuracy errors, when sound was present. The majority of participants preferred listening to the ST while revising, but their self-reported gains on concentration and productivity were not conclusive. For viewing behaviour, a subset of eye-tracking data shows that participants focused more on the target text (TT) than the source regardless of the revising condition, though with differences in fixation counts, dwell time and mean fixation duration (MDF). Orientation and finalisation phases were also identified. Finally, speech synthesis appears to increase perceived alertness, and may prompt revisers to consult external resources more frequently.
Keyword: computer-assisted translation (CAT); error analysis; error detection; eye-tracking; speech synthesis; translation revision
URL: https://doi.org/10.3390/informatics6040051
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