Chih-Chin Liu, Jia-Lien Hsu, and Arbee L.P. Chen, "Efficient theme and non-trivial repeating pattern discovering in databases," in Proceedings of ICDE 99, 1999, pp. 14--21, Sydney, Australia.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....the conversational vector and the topic specific vector. A lot of problems are addressed through the topic tracking task and not all problems are yet resolved. Finally, if speech cues are well known, music segments can also be exploited to find particular cues like rythm [33] musical sentences [34], pitch [35] notes, instrumental parts, singing voices, melody [36, 37] etc. 7. CONCLUSION AND PERSPECTIVES In this paper, we have presented the current state of research in audio indexing. We have discussed speech music segmentation, language identification, speaker tracking and speaker ....

Chih-Chin Liu, Jia-Lien Hsu, and Arbee L.P. Chen, "Efficient theme and non-trivial repeating pattern discovering in databases," in Proceedings of ICDE 99, 1999, pp. 14--21, Sydney, Australia.

....a piece [Chen98b] Empirical tests were performed on a collection of classical works. The average execution time was ten seconds for a piece with 1000 notes. A new data structure, called an RP Tree, was developed to reduce the execution time to under four seconds for a piece with 1000 notes [Chen99] The improved algorithm also removes trivial repetitions in an attempt to find the segments that are most likely to be the theme of the music. Extraction of repeating sequences has also been examined by Tseng et al. in their music retrieval system [Tseng99] The structure of music has a further ....

Chen, A.L.P., Liu, C.C., Hsu, J.L., Efficient Theme and Non-Trivial Repeating Pattern Discovering in Music Databases, in Proc. 15th IEEE International Conference on Data Engineering, 1999, pp. 14-21.

....may be constructed using an exact match of the musical sequence against itself. Our hypothesis is that a significant part of a theme is likely to repeat at least once, and that smaller chunks of a theme are likely to repeat multiple times. The basic idea is similar to that followed by Liu, et al. [4], but, where they build theme candidates by joining small repeating patterns into larger ones, we start with the longest repeating patterns and look for continuations and substrings. Theme discovery is essentially a search for self similarity in a piece of music. For that reason, we begin by ....

Liu, C. C., J. L. Hsu and A. L. P. Chen. "Efficient theme and non-trivial repeating pattern discovering in music databases," Proc. IEEE Intl. Conf. on Data Engineering, 1421, 1999.

....(exact magnitude) unigrams are used, ngrams remain shorter, perhaps not to sacrifice recall. Where more flexible (contour) unigrams are used, n grams remain longer, perhaps not to sacrifice precision. A more sophisticated approach to n gram extraction is the detection of repeating patterns [19, 40, 27, 1]. Implicit in these approaches is the assumption that frequency or repetition plays a large role in music similarity. Another alternative segments a melody into musically relevant passages, or musical surfaces [29] Weights are assigned to every potential boundary location, expressed in terms of ....

C. C. Liu, J. L. Hsu, and A. L. P. Chen. Efficient theme and non-trivial repeating pattern discovering in music databases. In Proceedings of IEEE International Conference on Research Issues in Data Engineering (RIDE), 1999.

....than once in music objects. Choosing repeating patterns as the feature to represent the music objects meets both efficiency and semantic richness requirements for content based music data retrieval. We propose approaches to efficiently discover the repeating patterns of music objects in [Hsu98] [Liu99b]. We have also implemented Muse, a prototype system for content based music data retrieval to illustrate the feasibility of the concepts we propose. ....

Liu, C. C., J. L. Hsu, and A. L. P. Chen, "Efficient Theme and Non-Trivial Repeating Pattern Discovering in Music Databases," in Proc. of IEEE International Conference on Data Engineering, 1999. Music Representation, Indexing and Retrieval at NTHU

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Liu, C. C.; Hsu, J. L. and Chen, A. L. P. "Efficient theme and non-trivial repeating pattern discovering in music databases", Proc. 15th International Conference on Data Engineering, 1999.

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