The proposed data-driven approach tries to preserve the nuanced variations of sung pitch while also estimating the amount of unintended pitch shift. This approach differs from commercially used automatic pitch correction systems, where notes in the vocal tracks are shifted to be centered around notes in a user-defined score or mapped to the closest pitch among the twelve equal-tempered scale degrees. Hence, the pitch shift in cents suggested by the model can be used to make the voice sound in tune with the accompaniment. The proposed approach does not need a musical score: it predicts the amount of correction for each note from the relationship between the spectral contents of the vocal and accompaniment tracks. The project got the attention of news outlets in the UK, as described in the SICE news release. This page contains audio examples for our paper on pitch correction of solo voice in a karaoke setting.
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