2016
Evaluating instrumental measures of speech quality using Bayesian model selection: Correlations can be misleading!
ICASSP 2016accepted
Choosing among competing models of collected data is crucial for all sciences. In the last decade there has been an increasing tendency to use Bayesian methods throughout many fields. When assessing the performance of instrumental measures of speech quality, classical measures such as correlation co…