In this section
@inproceedings{Eaton:2013,
author = {Eaton, D and Brookes, DM and Naylor, PA},
pages = {1--5},
publisher = {EURASIP},
title = {A Comparison of Non-Intrusive SNR Estimation Algorithms and the Use of Mapping Functions},
url = {http://hdl.handle.net/10044/1/51055},
year = {2013}
}
TY - CPAPER
AB - We present a comparative evaluation of six methods for non-intrusive Signal-to-Noise Ratio (SNR) estimation for narrowband speech in noise. We demonstrate that the performance of all methods can be improved by applying a non-linear mapping function to their estimates of SNR. We have employed phrases built from the TIMIT speech corpus and noises from a broad range of sources including ITU-T P.501, NOISEX-92, and Soundjay. We compare the accuracy of the methods in estimating the SNR of both stationary and non-stationary noise and we conclude that with the mapping function, the best current methods can estimate the SNR to within approximately 3.5 dB for SNRs from -5 dB to 35 dB.
AU - Eaton,D
AU - Brookes,DM
AU - Naylor,PA
EP - 5
PB - EURASIP
PY - 2013///
SP - 1
TI - A Comparison of Non-Intrusive SNR Estimation Algorithms and the Use of Mapping Functions
UR - http://hdl.handle.net/10044/1/51055
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom