Title :
Additive Modeling of English F0 Contour for Speech Synthesis
Author_Institution :
Comput. Sci. & Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Keywords :
least squares approximations; natural languages; regression analysis; speech synthesis; English F0 contour additive modeling; accented syllables; backfitting algorithm; corpus-based concatenative speech synthesis; fundamental frequency contour modeling; intonational phrase component; lexical stress types; nonlinear regression models; pitch-accent component; regularized least-squares error criterion; statistical learning technique; tri-layer additive model; word-level stress component; Artificial intelligence; Computer science; Frequency synthesizers; Laboratories; Regression tree analysis; Speech synthesis; Statistical learning; Stress; Training data; Weather forecasting;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415104