Quality comparison measure for linear predictive systems

This paper reports the results of an investigation of a computable Quality Comparison Measure (called the QCM) for linear predictive systems. The measure described is easily obtained by a synthesis-analysis procedure. It is a weighted combination of differences between the input and output speech parameters for a series of spoken sentences. Results are presented that demonstrate a high correlation between QCM and listener preference scores. The QCM offers an alternative to costly and time consuming formal listening procedures.