A fundamental frequency tracking and note segmentation algorithm tailored for Karaoke autoscoring

With the popularity of Karaoke, the function of Karaoke scoring, which is able to evaluate the performance of the singer has raised and attracted great interest of people. As to obtain a precise auto-scoring, the singing signal recognition and processing is rather the priority. This paper presents a new algorithm of the fundamental frequency tracking and note segmentation method according to features of Karaoke. Experiment results prove its reliability and efficiency.