H. A. Javed and P. A. Naylor, “Evaluation of an Extended Reverberation Decay Tail Metric as a Measure of Perceived Reverberation,” in Proc. AES Conference: 54th International Conference: Audio Forensics, Jun. 2014, Paper 3-2. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17324
Javed HA, Naylor PA. Evaluation of an Extended Reverberation Decay Tail Metric as a Measure of Perceived Reverberation. In: AES Conference: 54th International Conference: Audio Forensics. Audio Engineering Society; 2014. Paper 3-2. Available from: https://aes.org/publications/elibrary-page/?id=17324
@inproceedings{Javed2014_17324,
author = {Javed, Hamza A and Naylor, Patrick A.},
title = {{Evaluation of an Extended Reverberation Decay Tail Metric as a Measure of Perceived Reverberation}},
booktitle = {AES Conference: 54th International Conference: Audio Forensics},
note = {Paper 3-2},
year = {2014},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17324}
}
TY - CPAPER
TI - Evaluation of an Extended Reverberation Decay Tail Metric as a Measure of Perceived Reverberation
AU - Javed, Hamza A
AU - Naylor, Patrick A.
T2 - AES Conference: 54th International Conference: Audio Forensics
M1 - Paper 3-2
PY - 2014
DA - 2014/06/06
UR - https://aes.org/publications/elibrary-page/?id=17324
PB - Audio Engineering Society
LA - en
AB - In this work an extended Reverberation Decay Tail (R_DT) metric is proposed and developed as a means of calculating the level of reverberation distortion in speech recordings. The metric, based on earlier research, is extended to operate on wideband speech and incorporates an improved perceptual model. The effectiveness of the measure as a predictor of reverberation, it's robustness to common types of noise and performance comparisons with the original metric are evaluated experimentally through simulations. As an intrusive quality measure, potential applications include use as a research tool by audio forensic and signal processing experts working on the development of speech dereverberation algorithms.
ER -