In this section
@inproceedings{Moore:2018:10.1109/ICASSP.2018.8462008,
author = {Moore, AH and Naylor, P and Brookes, DM},
doi = {10.1109/ICASSP.2018.8462008},
pages = {6902--6906},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
title = {Room identification using frequency dependence of spectral decay statistics},
url = {http://dx.doi.org/10.1109/ICASSP.2018.8462008},
year = {2018}
}
TY - CPAPER
AB - A method for room identification is proposed based on the reverberation properties of multichannel speech recordings. The approach exploits the dependence of spectral decay statistics on the reverberation time of a room. The average negative-side variance within 1/3-octave bands is proposed as the identifying feature and shown to be effective in a classification experiment. However, negative-side variance is also dependent on the direct-to-reverberant energy ratio. The resulting sensitivity to different spatial configurations of source and microphones within a room are mitigated using a novel reverberation enhancement algorithm. A classification experiment using speech convolved with measured impulse responses and contaminated with environmental noise demonstrates the effectiveness of the proposed method, achieving 79% correct identification in the most demanding condition compared to 40% using unenhanced signals.
AU - Moore,AH
AU - Naylor,P
AU - Brookes,DM
DO - 10.1109/ICASSP.2018.8462008
EP - 6906
PB - Institute of Electrical and Electronics Engineers Inc.
PY - 2018///
SN - 0736-7791
SP - 6902
TI - Room identification using frequency dependence of spectral decay statistics
UR - http://dx.doi.org/10.1109/ICASSP.2018.8462008
UR - http://hdl.handle.net/10044/1/57381
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom