A probabilistic framework for subband autoregressive models applied to room acoustics

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2001, Pages 492-495

  Hopgood, James R ^a   Rayner, Peter J W ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); IIR FILTERS; OPTIMIZATION; PARAMETER ESTIMATION; TRANSFER FUNCTIONS; WHITE NOISE;

ACOUSTIC IMPULSE RESPONSES (AIR);

ACOUSTICS;

EID: 0035555815     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Pole and zero modeling of room transfer functions
2. Bayesian single channel blind deconvolution using parametric signal and channel models
3. Speech enhancement by nonlinear multiband envelope filtering
4. Modelling and enhancement of reverberant speech using an envelope convolution method
5. Dereverberation of speech signals based on sub-band envelope estimation
6. Recovering of broadband reverberant speech signal by sub-band MINT method
7. Linear prediction: A tutorial review
8. Linear prediction of subband signals
9. Analysis of linear prediction, coding, and spectral estimation from subbands
10. Spectral analysis of speech by linear prediction
11. Multirate digital filters, filter banks, polyphase networks, and applications: A tutorial
12. Invertibility of a room impulse response