An Algorithm for Locating Non-Overlapping Regions of Maximum Alignment Score
CPM '93 Proceedings of the 4th Annual Symposium on Combinatorial Pattern Matching
Automated analysis of musical structure
Automated analysis of musical structure
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification
IEEE Transactions on Audio, Speech, and Language Processing
Structural Segmentation of Musical Audio by Constrained Clustering
IEEE Transactions on Audio, Speech, and Language Processing
Audio thumbnailing of popular music using chroma-based representations
IEEE Transactions on Multimedia
Towards an indexing method to speed-up music retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
| Hi-index | 0.00 |
With the growing presence of large collections of musical content, methods for facilitating efficient browsing and fast comparisons of audio pieces become more and more useful. Notably, methods that isolate relevant parts in audio pieces give an insight of the musical content and can be used to improve similarity evaluation systems. In this context, we propose an indexing method that allows retrieving in audio signals particular parts, namely a major repetition. We use harmonic representations together with string matching techniques to strictly define and isolate such segments. Experiments on state-of-the-art structural datasets show a strong correlation between the retrieved parts and the perceived structure of pieces.