5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Speech Coding and Synthesis Using Parametric Curves

Luis Miguel Teixeira de Jesus, Gavin C. Cawley

School of Information Systems, University of East Anglia, Norwich, UK

Accurate modeling of co-articulation, the context- sensitive merging of the boundaries between allophones in continuous speech, is vital for natural sounding speech synthesis. This paper describes initial research investigating the use of Bezier Curves to form models of co- articulation in human speech. A 12th order, pitch synchronous line spectral pair (LSP) [1] analysis is performed on a corpus of 239 phonetically balanced sentences of English speech. The resulting data are divided to form an inventory of the diphones occurring in the speech database. The trajectory of each line spectral pair parameter through each diphone can then be represented by a single cubic Bezier curve segment, found using the Levenberg- Marquardt curve fitting method [2, 3]. Results are presented showing the accuracy of Bezier models of the coarticulation between different types of speech sounds.

Full Paper

Bibliographic reference.  Teixeira de Jesus, Luis Miguel / Cawley, Gavin C. (1997): "Speech coding and synthesis using parametric curves", In EUROSPEECH-1997, 597-600.