evaluating automatic melody segmentation aimed at music information retrieval
In this paper we investigate the effectiveness of a melody segmentation algorithm based on melodic feature. The segmentation produced by experienced music scholars have been compared with the algorithm, a random segmenter and a n-gram-based segmenter. Results showed that the algorithm is closer to manual segmentation than the other segmenters.
user centred evaluation