Fundamentals of speech recognition
Fundamentals of speech recognition
Automatic Segmentation of Acoustic Musical Signals Using Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
LyricAlly: automatic synchronization of acoustic musical signals and textual lyrics
Proceedings of the 12th annual ACM international conference on Multimedia
Music score alignment and computer accompaniment
Communications of the ACM - Music information retrieval
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
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
Lyrics-based audio retrieval and multimodal navigation in music collections
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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The general goal of music synchronization is to align multiple information sources related to a given piece of music. This becomes a hard problem when the various representations to be aligned reveal significant differences not only in tempo, instrumentation, or dynamics but also in structure or polyphony. Because of the complexity and diversity of music data, one can not expect to find a universal synchronization algorithm that yields reasonable solutions in all situations. In this paper, we present a novel method that allows for automatically identifying the reliable parts of alignment results. Instead of relying on one single strategy, our idea is to combine several types of conceptually different synchronization strategies within an extensible framework, thus accounting for various musical aspects. Looking for consistencies and inconsistencies across the synchronization results, our method automatically classifies the alignments locally as reliable or critical. Considering only the reliable parts yields a high-precision partial alignment. Moreover, the identification of critical parts is also useful, as they often reveal musically interesting deviations between the versions to be aligned.