Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7177926
