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Titel: A review of state-of-the-art speech modelling methods for the parameterisation of expressive synthetic speech
Verfasser: Krstulovic, Sacha
Sprache: Englisch
Erscheinungsjahr: 2007
Quelle: Kaiserslautern ; Saarbrücken : DFKI, 2007
SWD-Schlagwörter: Künstliche Intelligenz
DDC-Sachgruppe: 004 Informatik
Dokumentart : Report (Bericht)
Kurzfassung: This document will review a sample of available voice modelling and transformation techniques, in view of an application in expressive unit-selection based speech synthesis in the framework of the PAVOQUE project. The underlying idea is to introduce some parametric modification capabilities at the level of the synthesis system, in order to compensate for the sparsity and rigidity, in terms of available emotional speaking styles, of the databases used to define speech synthesis voices. For this work, emotion-related parametric modifications will be restricted to the domains of voice quality and prosody, as suggested by several reviews addressing the vocal correlates of emotions (Schröder, 2001; Schröder, 2004; Roehling et al., 2006). The present report will start with a review of some techniques related to voice quality modelling and modification. First, it will explore the techniques related to glottal flow modelling. Then, it will review the domain of cross-speaker voice transformations, in view of a transposition to the domain of cross-emotion voice transformations. This topic will be exposed from the perspective of the parametric spectral modelling of speech and then from the perspective of available spectral transformation techniques. Then, the domain of prosodic parameterisation and modification will be reviewed.
Link zu diesem Datensatz: urn:nbn:de:bsz:291-scidok-39454
hdl:20.500.11880/25143
http://dx.doi.org/10.22028/D291-25087
Schriftenreihe: Technical memo / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-0071]
Band: 07-02
SciDok-Publikation: 13-Jul-2011
Fakultät: Sonstige Einrichtungen
Fachrichtung: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Fakultät / Institution:SE - Sonstige Einrichtungen

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