Imperial College London

Dr Patrick A. Naylor

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Speech & Acoustic Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6235p.naylor Website

 
 
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Location

 

803Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Moore,
author = {Moore, AH and Naylor, P and Brookes, DM},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
title = {Room identification using frequency dependence of spectral decay statistics},
url = {http://hdl.handle.net/10044/1/57381},
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - A method for room identification is proposed based on the reverber-ation properties of multichannel speech recordings. The approachexploits the dependence of spectral decay statistics on the reverber-ation time of a room. The average negative-side variance within1/3-octave bands is proposed as the identifying feature and shown to beeffective in a classification experiment. However, negative-side vari-ance is also dependent on the direct-to-reverberant energy ratio. Theresulting sensitivity to different spatial configurations of source andmicrophones within a room are mitigated using a novel reverberationenhancement algorithm. A classification experiment using speechconvolved with measured impulse responses and contaminated withenvironmental noise demonstrates the effectiveness of the proposedmethod, achieving 79% correct identification in the most demandingcondition compared to 40% using unenhanced signals.
AU - Moore,AH
AU - Naylor,P
AU - Brookes,DM
PB - Institute of Electrical and Electronics Engineers Inc.
SN - 0736-7791
TI - Room identification using frequency dependence of spectral decay statistics
UR - http://hdl.handle.net/10044/1/57381
ER -