DocumentCode :
2996686
Title :
A multi-step excited model for speech parameter trajectories
Author :
De Lima Veiga, Alvaro ; Grenier, Yves
Author_Institution :
Ecole Nat. Superieure des Telecommun., Paris, France
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
67
Abstract :
The authors present a new model to characterize the trajectories of the analysis parameters of speech. They represent their evolution as the output of a vector autoregressive system excited by a multistep function, i.e., a sum of an arbitrary number of step-functions. The constant parts of the resulting function represent targets to be attained by the output of the system. Each target corresponds roughly to a speech event. As a new target can arrive before the present one is attained, coarticulation phenomenon can be appropriately treated. Inversely, stable parts of speech are represented by sufficiently spaced targets. Detection of steps and estimated of their amplitudes are performed iteratively by an analysis-by-synthesis method that minimises a quadratic criterion
Keywords :
speech analysis and processing; analysis-by-synthesis method; coarticulation phenomenon; multi-step excited model; speech parameter trajectories; vector autoregressive system; Acoustic signal detection; Artificial intelligence; Covariance matrix; Differential equations; Performance analysis; Signal processing; Speech; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196512
Filename :
196512
Link To Document :
بازگشت