Title :
Statistical approach to vocal tract transfer function estimation based on factor analyzed trajectory HMM
Author :
Toda, Tomoki ; Tokuda, Keiichi
fDate :
March 31 2008-April 4 2008
Abstract :
In this paper, we describe a novel statistical approach to the vocal tract transfer function (VTTF) estimation of a speech signal based on a factor analyzed trajectory hidden Markov model (HMM). Because speech is a quasi-periodic signal, there are many missing frequency components between adjacent Fo harmonics. The proposed method determines a time-varying VTTF sequence based on the maximum a posteriori (MAP) estimation considering not only harmonic components observed at each analyzed frame but also those at other frames for stochastically interpolating the missing frequency parts.
Keywords :
hidden Markov models; maximum likelihood estimation; speech processing; transfer functions; Fo harmonics; factor analyzed trajectory HMM; hidden Markov model; maximum a posteriori estimation; speech signal estimation; statistical approach; stochastic interpolation; vocal tract transfer function estimation; Cepstral analysis; Data mining; Frequency estimation; Harmonic analysis; Hidden Markov models; Information analysis; Signal analysis; Spectral analysis; Speech analysis; Transfer functions; MAP; factor analysis; speech analysis; trajectory HMM; vocal tract transfer function;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518512
