An investigation of music analysis by the application of grammar-based compressors

Many studies have presented computational models of musical structure, as an important aspect musicological analysis. However, the use grammar-based compressors to automatically recover such information is a relatively new and promising technique. We investigate their performance extensively using collection nearly 8000 scores, on tasks including error detection, classification, segmentation, compare this with range more traditional compressors. Further, we detail novel method for locating transcription errors based grammar compression. Despite its lack domain knowledge, conclude that compression offers competitive when solving variety tasks.