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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 Hits 1 – 5 of 5 1 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 Automatic Variation of the Degree of Articulation in New HMM-based Voices Benjamin Picart; Thomas Drugman; Thierry Dutoit In: http://tcts.fpms.ac.be/~drugman/files/STSP2013.pdf BASE Show details 2 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 Automatic Variation of the Degree of Articulation in New HMM-based Voices Benjamin Picart; Thomas Drugman; Thierry Dutoit In: http://tcts.fpms.ac.be/publications/regpapers/2014/jstsp_articulation_bptdtd.pdf BASE Show details 3 Analysis and Synthesis of Hypo and Hyperarticulated Speech Benjamin Picart; Thomas Drugman; Thierry Dutoit In: http://tcts.fpms.ac.be/%7Edrugman/files/SSW7.pdf BASE Show details 4 STATISTICAL METHODS FOR VARYING THE DEGREE OF ARTICULATION IN NEW HMM-BASED VOICES Benjamin Picart; Thomas Drugman; Thierry Dutoit In: http://tcts.fpms.ac.be/~drugman/files/SLT12-Picart.pdf Abstract: This paper focuses on the automatic modification of the degree of articulation (hypo/hyperarticulation) of an existing standard neutral voice in the framework of HMM-based speech synthesis. Starting from a source speaker for which neutral, hypo and hyperarticulated speech data are available, two sets of transformations are computed during the adaptation of the neutral speech synthesizer. These transformations are then applied to a new target speaker for which no hypo/hyperarticulated recordings are available. Four statistical methods are investigated, differing in the speaking style adaptation technique (MLLR vs. CMLLR) and in the speaking style transposition approach (phonetic vs. acoustic correspondence) they use. This study focuses on the prosody model although such techniques can be applied to any stream of parameters exhibiting suited interpolability properties. Two subjective evaluations are performed in order to determine which statistical transformation method achieves the better segmental quality and reproduction of the articulation degree. Keyword: Expressive Speech; HTS; Index Terms — Speech Synthesis; Speaking Style Adaptation; Voice Quality URL: http://tcts.fpms.ac.be/~drugman/files/SLT12-Picart.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.9619 BASE Hide details 5 Assessing the Intelligibility and Quality of HMM-based Speech Synthesis with a Variable Degree of Articulation Benjamin Picart; Thomas Drugman; Thierry Dutoit In: http://tcts.fpms.ac.be/%7Edrugman/files/LISTA12.pdf BASE Show details

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