Title :
Parameter distributions for speech signals modeled with spherically invariant random processes
Author :
De Leon, Phillip ; Jiang, Hui
Author_Institution :
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Abstract :
Spherically Invariant Random Processes (SIRPs) have been used as a statistical model for speech and shown to better fit measured probability density functions. With the G-function, SIRPs are conveniently represented and applications involving speech (SIRPs) can be analyzed. This paper describes work in characterizing G-function SIRP parameter distributions for American English
Keywords :
speech processing; American English; G-function; parameter distribution; probability density function; speech signal; spherically invariant random process; statistical model; Application software; Gaussian processes; Histograms; Performance analysis; Probability density function; Random processes; Signal processing; Speech analysis; Speech processing; System performance;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867253
