Title :
A hybrid pitch period estimation method based on HNM model
Author :
Nagy, Martin Turi ; Rozinaj, Gregor ; Páleník, Andrej
Author_Institution :
Slovak Univ. of Technol., Bratislava
Abstract :
Pitch period estimation (also called fundamental frequency estimation) is widely needed in speech processing for many purposes. In our system for prosodic modification of speech, the pitch period estimation is used as a basis for frame length detection. The pitch period estimation method used in the system is a hybrid method that is based on YIN fundamental frequency estimation algorithm and a method for fundamental frequency detection on magnitude of the speech signal. The experiments show, that the method is useful in sinusoidal modeling domain, as in other domains, too.
Keywords :
frequency estimation; speech processing; HNM model; YIN algorithm; frame length detection; fundamental frequency detection; fundamental frequency estimation; harmonic plus noise model; hybrid pitch period estimation method; prosodic modification; speech processing; speech signal magnitude; Acoustic signal detection; Bandwidth; Electronic mail; Frequency domain analysis; Frequency estimation; Frequency modulation; Signal processing algorithms; Speech enhancement; Speech synthesis; Stress; HNM model; Pitch period; sinusoidal parameters.;
Conference_Titel :
ELMAR, 2007
Conference_Location :
Zadar
Print_ISBN :
978-953-7044-05-3
DOI :
10.1109/ELMAR.2007.4418825