DocumentCode :
3403840
Title :
Path-constrained partial music synchronization
Author :
Müller, Meinard ; Appelt, Daniel
Author_Institution :
Max-Planck-Inst. fur Inf., Saarbrucken
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
65
Lastpage :
68
Abstract :
Digital music collections often contain different versions and interpretations of a single musical work. In view of music retrieval and browsing applications, one important task, also referred to as audio synchronization, is to automatically time-align two given audio recordings of the same underlying piece. In this paper, we present a novel synchronization procedure, which can compute meaningful audio alignments even in the presence of structural variations. Such variations include the omission of repetitions, the insertion of additional parts (soli, cadenzas), or differences in the number of stanzas in popular, folk, or art songs. As one main contribution, we introduce the concept of path-constrained similarity matrices. This enables us to employ a flexible and efficiently computable partial matching procedure in the optimization step of our synchronization algorithm. Our overall strategy aims at aligning preferably long consecutive runs while avoiding an over-fragmentation of the audio material.
Keywords :
audio signal processing; humanities; matrix algebra; optimisation; synchronisation; audio recording; audio synchronization algorithm; digital music collection; music retrieval; partial matching procedure; path-constrained partial music synchronization; path-constrained similarity matrix; Art; Audio recording; Biological information theory; Boosting; Dynamic programming; Instruments; Joining processes; Mel frequency cepstral coefficient; Multiple signal classification; Music information retrieval; Alignment; Audio Recording; Music; Partial Match; Similarity Matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4517547
Filename :
4517547
Link To Document :
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