DocumentCode
2265839
Title
A Pitch Estimation Filter robust to high levels of noise (PEFAC)
Author
Gonzalez, Sira ; Brookes, Mike
Author_Institution
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
451
Lastpage
455
Abstract
We present PEFAC, a fundamental frequency estimation algorithm that is able to identify the pitch of voiced frames reliably even at negative signal to noise ratios. The algorithm combines non-linear amplitude compression, to attenuate narrow-band noise components, with a comb-filter applied in the log-frequency power spectral domain, whose impulse response is chosen to attenuate smoothly varying noise components. We compare the performance of our algorithm with that of other widely used algorithms on a subset of the TIMIT database and demonstrate that it performs exceptionally well in both high and low levels of additive noise.
Keywords
comb filters; data compression; frequency estimation; speech processing; PEFAC; TIMIT database; additive noise; comb-filter; fundamental frequency estimation algorithm; impulse response; log-frequency power spectral domain; narrow-band noise component attenuation; negative signal to noise ratio; nonlinear amplitude compression; pitch estimation filter; pitch identification; voiced frames; Estimation; Frequency estimation; Signal to noise ratio; Speech; Time-frequency analysis; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2011 19th European
Conference_Location
Barcelona
ISSN
2076-1465
Type
conf
Filename
7073948
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