DocumentCode
2810760
Title
Maximum likelihood pitch estimation using sinusoidal modeling
Author
Mahadevan, Vijay ; Espy-Wilson, Carol Y.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
fYear
2011
fDate
10-12 Feb. 2011
Firstpage
310
Lastpage
314
Abstract
An algorithm for optimal estimation of pitch frequency using a maximum likelihood formulation is presented. The speech waveform is modeled using sinusoidal basis functions that are harmonically tied together to explicitly capture the periodic structure of voiced speech. The problem of pitch estimation is casted as a model selection problem and the Akaike Information Criterion is used to estimate the pitch.
Keywords
maximum likelihood estimation; speech processing; Akaike Information Criterion; maximum likelihood pitch estimation; optimal estimation; pitch estimation; sinusoidal basis function; sinusoidal modeling; speech waveform; Personal digital assistants; Akaike information criteria; fundamental frequency; maximum likelihood; pitch; sinusoidal modeling; voicing;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2011 International Conference on
Conference_Location
Calicut
Print_ISBN
978-1-4244-9798-0
Type
conf
DOI
10.1109/ICCSP.2011.5739326
Filename
5739326
Link To Document