Pitch estimation and a measure of voicing from pseudo-spectra

Author

Malik, Najam ; Holmes, W. Harvey

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia

Volume

1

fYear

1999

fDate

1999

Firstpage

59

Abstract

In the sinusoidal model of speech, the analysis and synthesis is carried out using a superposition of sinusoidal components whose frequencies, amplitudes, and phases are to be estimated. We apply subspace and linear prediction methods of frequency estimation to speech waveforms using this model. These techniques yield a measure of the degree of voicing. They also lead to a new robust and reliable pitch estimation algorithm

Keywords

amplitude estimation; frequency estimation; phase estimation; prediction theory; signal classification; signal resolution; spectral analysis; speech processing; speech synthesis; additive noise; amplitude estimation; frequency estimation; high resolution estimates; linear prediction method; phase estimation; pitch estimation; pseudo-spectra; reliable pitch estimation algorithm; robust pitch estimation algorithm; sinusoidal components superposition; sinusoidal speech model; speech analysis; speech synthesis; speech waveforms; subspace method; voicing classification; voicing measure; Australia; Eigenvalues and eigenfunctions; Frequency estimation; Multiple signal classification; Prediction methods; Predictive models; Random variables; Signal processing; Speech analysis; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.818112

Filename

818112