Title :
Voiced speech synthesis with a nonlinear glottal model
Author :
Kumar, Arun ; Gersho, Allen
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
We propose a model for voiced speech synthesis using a threshold autoregressive (TAR) glottal flow model. It reconstructs the pitch periodicity and tracks small pitch period variations even at a low parameter update rate of 20 ms, without requiring explicit pitch information. The model overcomes several limitations of traditional glottal models and has potential for application to high quality speech synthesis and low bit rate speech coding
Keywords :
autoregressive processes; signal reconstruction; speech coding; speech synthesis; high quality speech synthesis; low bit rate speech coding; nonlinear glottal model; pitch periodicity reconstruction; small pitch period variations; threshold autoregressive glottal flow model; voiced speech synthesis; Bit rate; Digital signal processing; Filtering; Nonlinear filters; Parameter estimation; Phase estimation; Signal synthesis; Speech coding; Speech synthesis; Target tracking;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623867
