Title :
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
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;
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
DOI :
10.1109/ISSPA.1999.818112
