Computer Science – Information Retrieval
Scientific paper
2011-09-02
Computer Science
Information Retrieval
technique report and preparation for conference
Scientific paper
We present a new approach to evaluate chord recognition systems on songs which do not have full annotations. The principle is to use online chord databases to generate high accurate "pseudo annotations" for these songs and compute "pseudo accuracies" of test systems. Statistical models that model the relationship between "pseudo accuracy" and real performance are then applied to estimate test systems' performance. The approach goes beyond the existing evaluation metrics, allowing us to carry out extensive analysis on chord recognition systems, such as their generalizations to different genres. In the experiments we applied this method to evaluate three state-of-the-art chord recognition systems, of which the results verified its reliability.
Bie Tijl de
Mcvicar Matt
Ni Yizhao
Santos-Rodriguez Raul
No associations
LandOfFree
Meta-song evaluation for chord recognition does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Meta-song evaluation for chord recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Meta-song evaluation for chord recognition will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-687924