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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9 10...49 Hits 101 – 120 of 971 101 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) BASE Show details 102 The Zero Resource Speech Challenge 2019: TTS without T Dunbar, Ewan; Algayres, Robin; Karadayi, Julien... 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) BASE Show details 103 Modeling Labial Coarticulation with Bidirectional Gated Recurrent Networks and Transfer Learning Biasutto--Lervat, Théo; Dahmani, Sara; Ouni, Slim 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) BASE Show details 104 Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis Dahmani, Sara; Colotte, Vincent; Girard, Valérian... 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) BASE Show details 105 Features of the formation of competitive stability of enterprises of rural green tourism on the principles of marketing ... DANYLO, S.I.. - : Zenodo, 2019 BASE Show details 106 Features of the formation of competitive stability of enterprises of rural green tourism on the principles of marketing ... DANYLO, S.I.. - : Zenodo, 2019 BASE Show details 107 Short-Term International Experiences in Language Teacher Education: A Qualitative Meta-Synthesis Çiftçi, Emrullah Yasin; Karaman, A. Cendel In: Australian Journal of Teacher Education (2019) BASE Show details 108 Cap-Independent mRNA Translation in Germ Cells Brett D. Keiper In: International Journal of Molecular Sciences ; Volume 20 ; Issue 1 (2019) BASE Show details 109 Improving reporting of meta-ethnography: The eMERGe reporting guidance Ring, Nicola; Uny, Isabelle; Maxwell, Margaret. - : Wiley, 2019 BASE Show details 110 The views and experiences of suicidal children and young people of mental health support services: A meta-ethnography. Gilmour, Lynn; Ring, Nicola; Maxwell, Margaret. - : Wiley, 2019 BASE Show details 111 create_vtl_corpus: Synthesizing a speech corpus with VocalTractLab ... Sering, Konstantin; Stehwien, Niels; Yingming Gao. - : Zenodo, 2019 BASE Show details 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 BASE Show details 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 BASE Show details 114 The Neo-Darwinian ideology Francisc Gafton 1; Adina Chirilă 2. - : Diacronia, 2019 BASE Show details 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 BASE Show details 116 Cap-Independent mRNA Translation in Germ Cells Keiper, Brett D.. - 2019 BASE Show details 117 Facial re-enactment, speech synthesis and the rise of the Deepfake Gardiner, Nicholas In: Theses : Honours (2019) BASE Show details 118 Trans-acting translational regulatory RNA binding proteins. Harvey, RF; Smith, TS; Mulroney, T. - : Wiley, 2019 BASE Show details 119 Exploring Efficient Neural Architectures for Linguistic–Acoustic Mapping in Text-To-Speech Santiago Pascual; Joan Serrà; Antonio Bonafonte In: Applied Sciences ; Volume 9 ; Issue 16 (2019) Abstract: Conversion from text to speech relies on the accurate mapping from linguistic to acoustic symbol sequences, for which current practice employs recurrent statistical models such as recurrent neural networks. Despite the good performance of such models (in terms of low distortion in the generated speech), their recursive structure with intermediate affine transformations tends to make them slow to train and to sample from. In this work, we explore two different mechanisms that enhance the operational efficiency of recurrent neural networks, and study their performance&ndash ; speed trade-off. The first mechanism is based on the quasi-recurrent neural network, where expensive affine transformations are removed from temporal connections and placed only on feed-forward computational directions. The second mechanism includes a module based on the transformer decoder network, designed without recurrent connections but emulating them with attention and positioning codes. Our results show that the proposed decoder networks are competitive in terms of distortion when compared to a recurrent baseline, whilst being significantly faster in terms of CPU and GPU inference time. The best performing model is the one based on the quasi-recurrent mechanism, reaching the same level of naturalness as the recurrent neural network based model with a speedup of 11.2 on CPU and 3.3 on GPU. Keyword: acoustic model; deep learning; quasi-recurrent neural networks; recurrent neural networks; self-attention; speech synthesis; text-to-speech URL: https://doi.org/10.3390/app9163391 BASE Hide details 120 Speech Synthesis in the Translation Revision Process: Evidence from Error Analysis, Questionnaire, and Eye-Tracking Dragoş Ciobanu; Valentina Ragni; Alina Secară In: Informatics ; Volume 6 ; Issue 4 (2019) BASE Show details Page: 1 2 3 4 5 6 7 8 9 10...49

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