Title :
A method for simultaneously extract the fundamental frequency of a speech signal and segment it
Author :
Rossignol, Stéphane ; Collette, Jean-Luc
Author_Institution :
IMS Res. Group 2, Supelec, Metz
Abstract :
This paper deals with the voiced/unvoiced segmentation of natural speech signals and, inside the voiced intervals of these signals, with the determination of the fundamental frequency f0. Our primary motivation of developing the method presented in this paper is to obtain precise f0 information, this both in terms of frequency for relatively fast evolving events, and in terms of time location of these frequential events. The use of a first partial enhancement and of the Analytic Signal extraction techniques allows this. Comparisons with a standard FFT-based method are provided.
Keywords :
fast Fourier transforms; signal processing; speech processing; analytic signal extraction techniques; frequential events; fundamental frequency; natural speech signals; standard FFT-based method; voiced intervals; voiced/unvoiced segmentation; Cepstral analysis; Cepstrum; Data mining; Detectors; Frequency domain analysis; Natural languages; Signal analysis; Signal processing; Speech processing; Speech synthesis; Signal Processing Theory and Methods; Speech Processing;
Conference_Titel :
Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4244-3554-8
Electronic_ISBN :
978-1-4244-3555-5
DOI :
10.1109/ISSPIT.2008.4775674