The ESCA Workshop on Speech Synthesis
September 25-28, 1990
A synthetic speech segmental quality assessment method based on a non-sense pseudo-words list is proposed. The pseudo words are automatically generated by a stochastic automaton which transition diagram represents the phonotax of the language, in terms of syllabic, stress and morphological constraints [Falaschi 87]. Full coverage of the phonemic environments and functionalities is ensured by the use of a compacting selection procedure [Falaschi 90]. Listeners phonemic confusion is automatically scored by a recognizer performances evaluation algorithm. Learning effects can be avoided by generation of new non-sense lists. Moreover, the method is naturally suited for the definition of typical complexity, phonologically constrained, test sets across different languages.
Bibliographic reference. Falaschi, Alessandro (1990): "Segmental quality assessment by well-formed nonsense words", In SSW1-1990, 261-264.