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
fDate :
Aug. 29 2011-Sept. 2 2011
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;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona