Title :
Formant estimation using singular value decomposition
Author :
Slyh, Raymond E. ; Moses, Randolph L.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
The estimation of a small number of damped complex exponentials from data which contain a larger set of damped exponentials and noise is considered. The use of total least squares methods results in biased estimates of the high energy damped exponentials due to the presence of the extra modes. The reasons for this bias, and ways to reduce it, are discussed
Keywords :
estimation theory; least squares approximations; speech analysis and processing; biased estimates; damped complex exponentials; high energy damped exponentials; noise; singular value decomposition; total least squares methods; Equations; Frequency estimation; Least squares approximation; Least squares methods; Matrix decomposition; Singular value decomposition; Speech enhancement; Speech processing; State estimation; White noise;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101806
