Performance of cepstrum-based deconvolution for DOA estimation in the presence of room reverberation

Author

Nagase, R. ; Oishi, K. ; Furukawa, T.

Author_Institution

Dept. of Manage. Sci., Tokyo Univ. of Sci., Tokyo, Japan

fYear

2014

fDate

7-10 Oct. 2014

Firstpage

97

Lastpage

101

Abstract

A time-quefrency dereverberation method for reducing the minimum-phase component (MPC) of an unknown room impulse response (RIR) is presented. This paper shows that the vocal-tract and glottal components and the MPC of the RIR can be eliminated from observed signals convolving the unknown RIR with an unknown voiced speech signal. The liftered sequence is applied to direction-of-arrival (DOA) estimator by the multiple signal classification (MUSIC) procedure. Computer simulations demonstrate the superiority of our cepstral prefiltering approach.

Keywords

deconvolution; direction-of-arrival estimation; filtering theory; reverberation; signal classification; time-frequency analysis; transient response; DOA estimation; MPC; MUSIC; RIR; cepstral prefiltering approach; cepstrum-based deconvolution; direction-of-arrival estimator; glottal component; minimum-phase component; multiple signal classification; room impulse response; signal sequence; time-frequency room dereverberation method; unknown voiced speech signal; vocal-tract component; Cepstrum; Direction-of-arrival estimation; Estimation; Microphones; Reverberation; Signal to noise ratio; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on

Conference_Location

Tokyo

Type

conf

DOI

10.1109/GCCE.2014.7031207

Filename

7031207