Reliability Evaluation of Audio Signal Recognition

摘要

In this paper we propose reliability measures for algorithms that recognize an audio signal within a database of music recordings when only a short segment of it is available. Using these measures, we test the reliability of two algorithms: one based on spectrogram peaks and one based on MFCC features. We compare the performance of the two methods and conclude about the usability and usefulness of our evaluation.