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An Experimental Approach to the Perception of Empathy in Speech ...
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42 |
Ressources for End-to-End French Text-to-Speech Blizzard challenge ...
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Ressources for End-to-End French Text-to-Speech Blizzard challenge ...
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44 |
An Experimental Approach to the Perception of Empathy in Speech ...
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45 |
Generative Adversarial Networks for Cross-Lingual Voice Conversion
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46 |
Sequence-to-Sequence Acoustic Modeling with Semi-Stepwise Monotonic Attention for Speech Synthesis
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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Acoustic Word Embeddings for End-to-End Speech Synthesis
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In: Applied Sciences ; Volume 11 ; Issue 19 (2021)
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48 |
Challenges to Internationalisation of University Programmes: A Systematic Thematic Synthesis of Qualitative Research on Learner-Centred English Medium Instruction (EMI) Pedagogy
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In: Sustainability ; Volume 13 ; Issue 22 (2021)
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Discriminative Multi-Stream Postfilters Based on Deep Learning for Enhancing Statistical Parametric Speech Synthesis
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In: Biomimetics ; Volume 6 ; Issue 1 (2021)
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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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51 |
Integrating a voice analysis-synthesis system with a TTS framework for controlling affect and speaker identity ; 2021 32nd Irish Signals and Systems Conference (ISSC)
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Abstract:
PUBLISHED ; Athlone, Ireland ; This paper reports an experiment exploring how a voice analysis-synthesis system, GlórCáil, can be used to add expressiveness to the synthetic voice in text-to-speech (TTS) systems. This implementation focuses on the Irish ABAIR TTS voices, where such voice control would facilitate many current/envisaged applications. GlórCáil allows voice control of synthesized speech, and for this experiment was integrated into a DNN-based TTS framework. Utterances were generated with f0, voice quality and vocal tract parameter manipulations targeting shifts in speaker identity and in the affective coloring of utterances. Scaling factors used for the manipulations were suggested in an earlier study. They involved global changes without sentence-internal dynamic variation, with a view to ascertain whether such global shifts might alter listeners' perception of speaker identity and affect. Results demonstrate affect shifts compatible with expectations. However, there were confounding factors. The female/child voices were poorly differentiated, which was expected given the similarity in the scaling factors used. The affect transformations suggest the baseline voice used had an intrinsically sad quality so that there is weak differentiation between the sad and no emotion stimuli. Male angry voice was the least successful, suggesting that dynamic, within-utterance variation is essential for the signaling of certain affects.
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Keyword:
Affect; Speaker characteristics; Speech synthesis; Voice quality; Voice transformation
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URL: http://people.tcd.ie/yanushi http://hdl.handle.net/2262/98196 http://people.tcd.ie/anichsid http://people.tcd.ie/cegobl https://doi.org/10.1109/ISSC52156.2021.9467853
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52 |
Intercultural competence in teacher preparation programs in the United States and Canada: A meta-synthesis study
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In: University of South Florida M3 Center Publishing (2021)
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53 |
Acoustic analysis and measurements of distorted speech in the NZ population
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Acoustic analysis and measurements of distorted speech in the NZ population
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Acoustic analysis and measurements of distorted speech in the NZ population
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56 |
“Song-advantage” or “Cost of Singing”? : A Research Synthesis of Classroom-based Intervention Studies Applying Lyrics-based Language Teaching (1972–2019)
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“Song-advantage” or “Cost of Singing”? A Research Synthesis of Classroom-based Intervention Studies Applying Lyrics-based Language Teaching (1972–2019)
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Thirty years of data-driven learning: Taking stock and charting new directions over time
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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
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CONTINUOUS AMERICAN SIGN LANGUAGE TRANSLATION WITH ENGLISH SPEECH SYNTHESIS USING ENCODER-DECODER APPROACH
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Using Silence MR Image to Synthesise Dynamic MRI Vocal Tract Data of CV
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-03090808 ; INTERSPEECH 2020, Oct 2020, Shangaï / Virtual, China ; http://www.interspeech2020.org/ (2020)
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