Nonlinear methods for speech analysis and synthesis

S. McLaughlin*, Petros Maragos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

16 Citations (Scopus)


In view of these observations, it seems likely that the data-based model of the vowel dynamics possesses an important degree of structure, perhaps reflecting physiological considerations, that requires further investigation. It is also clear that whilst encouraging there is still some way to go in overcoming the limitations of the approach. It is clear that speech is a nonlinear process and that if we are to achieve the holy grail of truly natural sounding synthetic speech than this must be accounted for. It is also clear that nonlinear synthesis techniques offer some potential to achieve this although a great deal of research work remains to be done. In the field of speech recognition, there is also strong experimental evidence that acoustic features representing various aspects of the nonlinear structure of speech can increase the robustness of recognition systems. However, more research is needed to find optimal ways for fusing the nonlinear with the linear speech features.

Original languageEnglish
Title of host publicationAdvances in Nonlinear Signal and Image Processing
PublisherHindawi Publishing Corporation
Number of pages38
ISBN (Print)9789775945372
Publication statusPublished - 2006

Publication series

NameEurasip Book Series on Signal Processing and Communications
ISSN (Print)1687-2789

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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