Tonality-Based Accompaniment-Guided Automatic Singing Evaluation

Automatic singing evaluation is highly desirable in industrial performance evaluation scenarios, including education and entertainment, given the high cost of human judges. Current singing evaluation systems assess a singer's performance by comparing reference vocals to the singing track. Unfortunately, reference vocals are not always available. Moreover, the similarity measure may not provide a reliable evaluation due to the inherently variable nature of singing performances. This paper proposes a tonality-based method for song-independent automatic singing evaluation. Experimental results show the proposed method outperforms other non-intrusive evaluation algorithms.