Title :
Online pitch estimation using instantaneous complex frequency
Author :
Kaniewska, Magdalena
Author_Institution :
Multimedia Syst. Dept., Gdansk Univ. of Technol., Gdansk, Poland
Abstract :
The paper presents new results of pitch estimation for speech signals obtained using a pipeline algorithm. The algorithm uses instantaneous complex frequency to perform voiced/unvoiced classification and estimate the fundamental frequency for each sample of the speech signal. Its performance is evaluated using two databases containing utterances spoken by male and female English speakers.
Keywords :
speech processing; English speakers; fundamental frequency; instantaneous complex frequency; online pitch estimation; pipeline algorithm; speech signals; unvoiced classification; Band pass filters; Classification algorithms; Estimation; Filtering algorithms; Frequency estimation; Speech; Speech processing; instantaneous complex frequency; pitch estimation; speech processing;
Conference_Titel :
Circuit Theory and Design (ECCTD), 2011 20th European Conference on
Conference_Location :
Linkoping
Print_ISBN :
978-1-4577-0617-2
Electronic_ISBN :
978-1-4577-0616-5
DOI :
10.1109/ECCTD.2011.6043369
