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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...114 Hits 41 – 60 of 2.272 41 Voice Conversion Challenge 2020 Listening Test Data ... Yi, Zhao; Wen-Chin Huang; Xiaohai Tian. - : Zenodo, 2021 BASE Show details 42 An Experimental Approach to the Perception of Empathy in Speech ... McHugh, Amanda. - : Zenodo, 2021 BASE Show details 43 Ressources for End-to-End French Text-to-Speech Blizzard challenge ... Bailly, Gérard; Perrotin, Olivier; Lenglet, Martin. - : Zenodo, 2021 BASE Show details 44 Ressources for End-to-End French Text-to-Speech Blizzard challenge ... Bailly, Gérard; Perrotin, Olivier; Lenglet, Martin. - : Zenodo, 2021 BASE Show details 45 An Experimental Approach to the Perception of Empathy in Speech ... McHugh, Amanda. - : Zenodo, 2021 BASE Show details 46 Generative Adversarial Networks for Cross-Lingual Voice Conversion Ankaräng, Fredrik. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021 BASE Show details 47 Sequence-to-Sequence Acoustic Modeling with Semi-Stepwise Monotonic Attention for Speech Synthesis Xiao Zhou; Zhenhua Ling; Yajun Hu... In: Applied Sciences ; Volume 11 ; Issue 21 (2021) BASE Show details 48 Acoustic Word Embeddings for End-to-End Speech Synthesis Feiyu Shen; Chenpeng Du; Kai Yu In: Applied Sciences ; Volume 11 ; Issue 19 (2021) Abstract: The most recent end-to-end speech synthesis systems use phonemes as acoustic input tokens and ignore the information about which word the phonemes come from. However, many words have their specific prosody type, which may significantly affect the naturalness. Prior works have employed pre-trained linguistic word embeddings as TTS system input. However, since linguistic information is not directly relevant to how words are pronounced, TTS quality improvement of these systems is mild. In this paper, we propose a novel and effective way of jointly training acoustic phone and word embeddings for end-to-end TTS systems. Experiments on the LJSpeech dataset show that the acoustic word embeddings dramatically decrease both the training and validation loss in phone-level prosody prediction. Subjective evaluations on naturalness demonstrate that the incorporation of acoustic word embeddings can significantly outperform both pure phone-based system and the TTS system with pre-trained linguistic word embedding. Keyword: acoustic input tokens; naturalness; speech synthesis; word embedding URL: https://doi.org/10.3390/app11199010 BASE Hide details 49 Challenges to Internationalisation of University Programmes: A Systematic Thematic Synthesis of Qualitative Research on Learner-Centred English Medium Instruction (EMI) Pedagogy Murod Ismailov; Thomas K. F. Chiu; Julie Dearden... In: Sustainability ; Volume 13 ; Issue 22 (2021) BASE Show details 50 Discriminative Multi-Stream Postfilters Based on Deep Learning for Enhancing Statistical Parametric Speech Synthesis Marvin Coto-Jiménez In: Biomimetics ; Volume 6 ; Issue 1 (2021) BASE Show details 51 Korean Prosody Phrase Boundary Prediction Model for Speech Synthesis Service in Smart Healthcare Minho Kim; Youngim Jung; Hyuk-Chul Kwon In: Electronics ; Volume 10 ; Issue 19 (2021) BASE Show details 52 Integrating a voice analysis-synthesis system with a TTS framework for controlling affect and speaker identity ; 2021 32nd Irish Signals and Systems Conference (ISSC) Yanushevskaya, Irena; Gobl, Christer; Ni Chasaide, Ailbhe. - 2021 BASE Show details 53 Intercultural competence in teacher preparation programs in the United States and Canada: A meta-synthesis study Silva-Enos, Sandra In: University of South Florida M3 Center Publishing (2021) BASE Show details 54 Acoustic analysis and measurements of distorted speech in the NZ population Erfanian Sabaee, Maryam; Sharifzadeh, Hamid; Ardekani, Iman. - 2021 BASE Show details 55 Acoustic analysis and measurements of distorted speech in the NZ population Erfanian Sabaee, Maryam; Sharifzadeh, Hamid; Ardekani, Iman. - 2021 BASE Show details 56 Acoustic analysis and measurements of distorted speech in the NZ population Erfanian Sabaee, Maryam; Sharifzadeh, Hamid; Ardekani, Iman. - 2021 BASE Show details 57 “Song-advantage” or “Cost of Singing”? : A Research Synthesis of Classroom-based Intervention Studies Applying Lyrics-based Language Teaching (1972–2019) Werner, Valentin. - : Otto-Friedrich-Universität, 2021. : Bamberg, 2021 BASE Show details 58 “Song-advantage” or “Cost of Singing”? A Research Synthesis of Classroom-based Intervention Studies Applying Lyrics-based Language Teaching (1972–2019) Werner, Valentin. - : University of Central Lancashire, 2021. : Preston, 2021 BASE Show details 59 Thirty years of data-driven learning: Taking stock and charting new directions over time Boulton, Alex; Vyatkina, Nina. - : University of Hawaii National Foreign Language Resource Center, 2021. : Center for Language & Technology, 2021. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2021 BASE Show details 60 CONTINUOUS AMERICAN SIGN LANGUAGE TRANSLATION WITH ENGLISH SPEECH SYNTHESIS USING ENCODER-DECODER APPROACH Ganesh, Preetham. - 2021 BASE Show details Page: 1 2 3 4 5 6 7...114

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