In this section
@inproceedings{Parada:2014:10.1109/ICASSP.2014.6854497,
author = {Parada, PP and Sharma, D and Naylor, PA},
doi = {10.1109/ICASSP.2014.6854497},
pages = {4718--4722},
title = {Non-intrusive estimation of the level of reverberation in speech},
url = {http://dx.doi.org/10.1109/ICASSP.2014.6854497},
year = {2014}
}
TY - CPAPER
AB - We show corroborating evidence that, among a set of common acoustic parameters, the clarity index C50 provides a measure of reverberation that is well correlated with speech recognition accuracy. We also present a data driven method for non-intrusive C50 parameter estimation from a single channel speech signal. The method extracts a number of features from the speech signal and uses a binary regression tree, trained on appropriate training data, to estimate the C50. Evaluation is carried out using speech utterances convolved with real and simulated room impulse responses, and additive babble noise. The new method outperforms a baseline approach in our evaluation. © 2014 IEEE.
AU - Parada,PP
AU - Sharma,D
AU - Naylor,PA
DO - 10.1109/ICASSP.2014.6854497
EP - 4722
PY - 2014///
SN - 1520-6149
SP - 4718
TI - Non-intrusive estimation of the level of reverberation in speech
UR - http://dx.doi.org/10.1109/ICASSP.2014.6854497
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom