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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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Implementing a Statistical Parametric Speech Synthesis System for a Patient with Laryngeal Cancer
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In: Sensors; Volume 22; Issue 9; Pages: 3188 (2022)
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Evaluation of Tacotron Based Synthesizers for Spanish and Basque
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1686 (2022)
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Contribution of Vocal Tract and Glottal Source Spectral Cues in the Generation of Acted Happy and Aggressive Spanish Vowels
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2055 (2022)
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Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet
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In: Information; Volume 13; Issue 3; Pages: 103 (2022)
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Affect Expression: Global and Local Control of Voice Source Parameters ; Speech Prosody
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Abstract:
This paper explores how the acoustic characteristics of the voice signal affect. It considers the proposition that the cueing of affect relies on variations in voice source parameters (includ- ing f0) that involve both global, uniform shifts across an utter- ance, and local, within-utterance changes, at prosodically rele- vant points. To test this, a perception test was conducted with stimuli where modifications were made to voice source param- eters of a synthesised baseline utterance, to target angry and sad renditions. The baseline utterance was generated with the ABAIR Irish TTS system, for one male and one female voice. The voice parameter manipulations drew on earlier production and perception experiments, and involved three stimulus series: those with global, local and a combination of global and local adjustments. 65 listeners judged the stimuli as one of the fol- lowing: angry, interested, no emotion, relaxed and sad, and in- dicated how strongly any affect was perceived. Results broadly support the initial proposition, in that the most effective signal- ling of both angry and sad affect tended to involve those stimuli which combined global and local adjustments. However, results for stimuli targeting angry were often judged as interested, in- dicating that the negative valence is not consistently cued by the manipulations in these stimuli.
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Keyword:
affect; paralinguistics; prosody; speech synthesis; voice quality; voice source
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URL: http://people.tcd.ie/yanushi
http://people.tcd.ie/anichsid
http://people.tcd.ie/cegobl
http://people.tcd.ie/amurph48
http://hdl.handle.net/2262/98224
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Prosodic Boundary Prediction Model for Vietnamese Text-To-Speech
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In: Proc. Interspeech 2021 ; Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03329116 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.3885-3889, ⟨10.21437/interspeech.2021-125⟩ (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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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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Anonymous speaker clusters: Making distinctions between anonymised speech recordings with clustering interface
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In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03267084 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021)
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Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis
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In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩ (2021)
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