Single-channel blind estimation of reverberation parameters

Author

Doire, Clement S. J. ; Brookes, Mike ; Naylor, Patrick A. ; Betts, Dave ; Hicks, Christopher M. ; Dmour, Mohammad A. ; Holdt Jensen, Soren

Author_Institution

Electr. & Electron. Eng., Imperial Coll. London, London, UK

fYear

2015

fDate

19-24 April 2015

Firstpage

31

Lastpage

35

Abstract

The reverberation of an acoustic channel can be characterised by two frequency-dependent parameters: the reverberation time and the direct-to-reverberant energy ratio. This paper presents an algorithm for blindly determining these parameters from a single-channel speech signal. The algorithm uses an extended Kalman filter to estimate the parameters together with a hidden semi-Markov model to identify intervals of speech activity.

Keywords

Kalman filters; blind source separation; hidden Markov models; nonlinear filters; reverberation; acoustic channel; direct-to-reverberant energy ratio; extended Kalman filter; frequency-dependent parameters; hidden semi-Markov model; reverberation time; single-channel blind estimation; single-channel speech signal; speech activity; Estimation; Kalman filters; Reverberation; Signal to noise ratio; Speech; Direct-to-Reverberant Ratio; Reverberation time; Single-channel;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7177926

Filename

7177926