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Synthesizing expressive speech from amateur audiobook recordings., , , , and . SLT, page 297-302. IEEE, (2012)Facial expression-based affective speech translation., , , and . J. Multimodal User Interfaces, 8 (1): 87-96 (2014)A system for facial expression-based affective speech translation., , , and . IUI Companion, page 57-58. ACM, (2013)WinkTalk: a demonstration of a multimodal speech synthesis platform linking facial expressions to expressive synthetic voices., , , and . SLPAT@HLT-NAACL, page 5-8. Association for Computational Linguistics, (2012)Casting to Corpus: Segmenting and Selecting Spontaneous Dialogue for Tts with a Cnn-lstm Speaker-dependent Breath Detector., , and . ICASSP, page 6925-6929. IEEE, (2019)Using crowd-sourcing for the design of listening agents: challenges and opportunities., , , , and . ISIAA@ICMI, page 37-38. ACM, (2017)Predicting synthetic voice style from facial expressions. An application for augmented conversations., , , , and . Speech Communication, (2014)The effect of soft, modal and loud voice levels on entrainment in noisy conditions., , and . INTERSPEECH, page 150-154. ISCA, (2015)Clustering Expressive Speech Styles in Audiobooks Using Glottal Source Parameters., , , and . INTERSPEECH, page 2409-2412. ISCA, (2011)Synthesising Uncertainty: The Interplay of Vocal Effort and Hesitation Disfluencies., , and . INTERSPEECH, page 804-808. ISCA, (2017)