Title
Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA
Abstract
The Virtual Speech Quality Objective Listener (ViSQOL) is a new objective speech quality model. It is a signal based full reference metric that uses a spectro-temporal measure of similarity between a reference and a test speech signal. ViSQOL aims to predict the overall quality of experience for the end listener whether the cause of speech quality degradation is due to ambient noise, or transmission channel degradations. This paper describes the algorithm and tests the model using two speech corpora: NOIZEUS and E4. The NOIZEUS corpus contains speech under a variety of background noise types, speech enhancement methods, and SNR levels. The E4 corpus contains voice over IP degradations including packet loss, jitter and clock drift. The results are compared with the ITU-T objective models for speech quality: PESQ and POLQA. The behaviour of the metrics are also evaluated under simulated time warp conditions. The results show that for both datasets ViSQOL performed comparably with PESQ. POLQA was shown to have lower correlation with subjective scores than the other metrics for the NOIZEUS database.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638348
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
pattern matching,speech enhancement,time warp simulation,E4,IP degradations,ITU-T objective models,NOIZEUS database,PESQ,POLQA,SNR levels,ViSQOL,Virtual Speech Quality Objective Listener,background noise,clock drift,network degradation,packet loss,simulated time warp conditions,spectrotemporal measurement,speech enhancement methods,speech quality degradation,speech quality metrics,test speech signal,transmission channel degradation,NSIM,Objective Speech Quality,P.853,POLQA,ViSQOL
Speech enhancement,Background noise,Pattern recognition,Ambient noise level,Computer science,Packet loss,Speech recognition,Artificial intelligence,Quality of experience,Jitter,POLQA,PESQ
Conference
ISSN
Citations 
PageRank 
1520-6149
9
0.68
References 
Authors
6
4
Name
Order
Citations
PageRank
Andrew Hines110920.79
Skoglund, J.2111.75
Anil C. Kokaram354159.24
Naomi Harte423127.86