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Phonetics and Machine Learning: Hierarchical Modelling of Prosody in Statistical Speech Synthesis.

. SLSP, volume 8791 of Lecture Notes in Computer Science, page 37-54. Springer, (2014)

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Modeling the microprosody of pitch and loudness for speech synthesis with neural networks., and . ICSLP, ISCA, (1998)A multilingual phonetic representation and analysis system for different speech databases., , and . ICSLP, page 1914-1917. ISCA, (1996)Three-dimensional modelling of speech corpora: added value through visualisation., , and . INTERSPEECH, page 1537-1540. ISCA, (2001)Different parts of the same elephant: A roadmap to disentangle and connect different perspectives on prosodic prominence., , , , , , , , , and 8 other author(s). ICPhS, University of Glasgow, (2015)Estimates for the Measurement and Articulatory Error in MRI Data from Sustained Vowel Production., , , , and . ICPhS, page 180-183. (2011)Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody., , , and . SSW, page 127-133. ISCA, (2023)New method for delexicalization and its application to prosodic tagging for text-to-speech synthesis., , , , , and . INTERSPEECH, page 1703-1706. ISCA, (2009)Deep neural network based trainable voice source model for synthesis of speech with varying vocal effort., , , , and . INTERSPEECH, page 1969-1973. ISCA, (2014)Lombard modified text-to-speech synthesis for improved intelligibility: submission for the hurricane challenge 2013., , , , , and . INTERSPEECH, page 3562-3566. ISCA, (2013)Utilization of the Lombard effect in post-filtering for intelligibility enhancement of telephone speech., , and . INTERSPEECH, page 591-594. ISCA, (2012)