This paper deals with the problem of assessing the distinguishability between the sound generated by an acoustical or electric instrument and an algorithm designed to emulate its behavior. To accomplish this, several previous works employed subjective listening tests. These are briefly reviewed in the paper. Different metrics to evaluate test results are discussed as well. Results are reported for listening tests performed on the sound of the Clavinet and a computational model aimed at its emulation. After discussing these results a guideline for subjective listening tests in the field of sound synthesis is proposed to the research community for further discussion and improvement.
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