TY - JOUR
T1 - Spatial audio quality perception (part 1)
T2 - Impact of commonly encountered processes
AU - Conetta, R.
AU - Brookes, T.
AU - Rumsey, F.
AU - Zielinski, S.
AU - Dewhirst, M.
AU - Jackson, P.
AU - Bech, Søren
AU - Meares, D.
AU - George, S.
PY - 2015/1/5
Y1 - 2015/1/5
N2 - Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known to produce a range of impairments to spatial quality. By way of two listening tests, this paper investigated the degree of degradation of the spatial quality of six 5-channel audio recordings resulting from 48 such SAPs. Perceived degradation also depends on the particular listeners, the program content, and the listening location. For example, combining off-center listener with another SAP can reduce spatial quality significantly when compared to listening to that SAP from a central location. The choice of the SAP can have a large influence on the degree of degradation. Taken together these findings and the quality-annotated database can guide the development of a regression model of perceived overall spatial audio quality, incorporating previously developed spatially-relevant feature-extraction algorithms. The results can guide the development of an artificial-listener-based evaluation system.
AB - Spatial audio processes (SAPs) commonly encountered in consumer audio reproduction systems are known to produce a range of impairments to spatial quality. By way of two listening tests, this paper investigated the degree of degradation of the spatial quality of six 5-channel audio recordings resulting from 48 such SAPs. Perceived degradation also depends on the particular listeners, the program content, and the listening location. For example, combining off-center listener with another SAP can reduce spatial quality significantly when compared to listening to that SAP from a central location. The choice of the SAP can have a large influence on the degree of degradation. Taken together these findings and the quality-annotated database can guide the development of a regression model of perceived overall spatial audio quality, incorporating previously developed spatially-relevant feature-extraction algorithms. The results can guide the development of an artificial-listener-based evaluation system.
U2 - 10.17743/jaes.2014.0048
DO - 10.17743/jaes.2014.0048
M3 - Journal article
SN - 1549-4950
VL - 62
SP - 831
EP - 846
JO - Journal of the Audio Engineering Society
JF - Journal of the Audio Engineering Society
IS - 12
ER -