  Singing voice correction (SVC) is an appealing application for amateur
singers. Commercial products automate SVC by snapping pitch contours to
equal-tempered scales, which could lead to deadpan modifications. Together with
the neglect of rhythmic errors, extensive manual corrections are still
necessary. In this paper, we present a streamlined system to automate
expressive SVC for both pitch and rhythmic errors. Particularly, we extend a
previous work by integrating advanced techniques for singing voice separation
(SVS) and vocal melody extraction. SVC is achieved by temporally aligning the
source-target pair, followed by replacing pitch and rhythm of the source with
those of the target. We evaluate the framework by a comparative study for
melody extraction which involves both subjective and objective evaluations,
whereby we investigate perceptual validity of the standard metrics through the
lens of SVC. The results suggest that the high pitch accuracy obtained by the
metrics does not signify good perceptual scores.
