Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
IEEE Transactions on Knowledge and Data Engineering
A Review of Audio Fingerprinting
Journal of VLSI Signal Processing Systems
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
Computer Music Journal
Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification
IEEE Transactions on Audio, Speech, and Language Processing
Efficient Index-Based Audio Matching
IEEE Transactions on Audio, Speech, and Language Processing
Semantic Annotation and Retrieval of Music and Sound Effects
IEEE Transactions on Audio, Speech, and Language Processing
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At current time, the availability of largemusic repositories poses challenging research problems. Among all, content-based identification is gaining an increasing interest because it can provide new tools for easy access and retrieval. In this paper we describe an ongoing methodology for the content-based identification of unknown music recordings through a collection of music documents. Moreover, as future prospective scenario, identification is viewed in a more general similarity context, where also the perception of the users is considered.