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Evaluating Melodic Segmentation
[chapter]
2002
Lecture Notes in Computer Science
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We discuss why evaluating melodic segmentation is difficult when solutions are ambiguous and explore the nature of this ambiguity using a corpus of melodies hand-segmented by musicians. ...
The framework gives rise to several potential extensions of existing segmentation algorithms. ...
For a more complete acknowledgment and a listing of the musician data, see http://i11www.ira.uka.de/˜musik/segmentation. ...
doi:10.1007/3-540-45722-4_16
fatcat:46b7wgnotbg3diows3ovyrndva
Distributed Vector Representations of Folksong Motifs
[article]
2019
arXiv
pre-print
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A new evaluation method for testing the quality of the embeddings based on a melodic similarity task is presented to show how the vector space can represent complex contextual features, and how it can ...
This evaluation method can be very useful for studying the similarity of melodic segments based on motifs and their related variants. ...
Evaluating motif embeddings A sample of 2000 melodic segments is randomly selected from the European subcollection from the Essen folksong corpus. ...
arXiv:1903.08756v1
fatcat:7tgypuvkvzdgnmpexfb5hvldbu
Multi-Strategy Segmentation Of Melodies
2014
Zenodo
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The idea is to evaluate segmentations according to two empirical constraints: one, melodic segments tend to show small deviations from a 'typical' segment length, and two, melodic segments tend to show ...
In this paper we propose and evaluate a multi-strategy system that combines single strategy models of melodic segmentation. ...
doi:10.5281/zenodo.1418012
fatcat:gnwxgj3svzayjgydwjc3mbqcdy
Selective Acquisition Techniques For Enculturation-Based Melodic Phrase Segmentation
2015
Zenodo
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In this paper we favour using a single melodic representation to simplify the evaluation our of segmenters, which is important considering that we evaluate our segmenters indirectly, by means of a classification ...
Computing Possible Segmentations Ideally, our learner should evaluate all possible segmentations of a phrase. ...
doi:10.5281/zenodo.1415063
fatcat:k7wacudvgracbddlg6hsrzxugq
A Stochastic Representation Of The Dynamics Of Sung Melody
2007
Zenodo
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These preliminary results showed that our histogrambased distance using SPR is promising for measuring melodic similarity. In the future, we plan to evaluate it in detail on a larger database. ...
Table 1 . 1 Percentage of Mean Reciprocal Rank (MRR) DTW Proposed # of segment 1 2 4 8 MRR [%] 64.3 45.6 57.1 65.6 71.1 0.8 1 DTW Proposed (1 segment) Proposed (2 segments) Proposed (4 segments) Proposed ...
doi:10.5281/zenodo.1414732
fatcat:zddez53o2bccldbez5lgwroj3i
A Comparison Of Symbolic Similarity Measures For Finding Occurrences Of Melodic Segments
2015
Zenodo
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[4] ), was evaluated on RISM incipits, which are short melodies or melodic segments, therefore relevant for our task. In recent MIREX editions the algorithm by Urbano et al. ...
We evaluate similarity measures on a set of folk songs, in which human experts annotated phrase similarity. We use these annotations as evidence for occurrences of melodic segments in related songs. ...
doi:10.5281/zenodo.1418356
fatcat:iafwqsj6kzdkjbtoyhlxbgumfu
Evaluating automatic melody segmentation aimed at music information retrieval
2002
Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries - JCDL '02
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In this paper we investigate the effectiveness of a melody segmentation algorithm based on melodic feature. ...
The segmentation produced by experienced music scholars have been compared with the algorithm, a random segmenter and a ngram-based segmenter. ...
RESULTS The performance of the automatic segmenter can be measured using a technique introduced in [1] for evaluation of text segmentation algorithms and successively adopted in the Topic Detection and ...
doi:10.1145/544220.544294
dblp:conf/jcdl/MelucciO02
fatcat:npqzwijpq5fnxc3vrcg3zk4vd4
Evaluating automatic melody segmentation aimed at music information retrieval
2002
Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries - JCDL '02
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In this paper we investigate the effectiveness of a melody segmentation algorithm based on melodic feature. ...
The segmentation produced by experienced music scholars have been compared with the algorithm, a random segmenter and a ngram-based segmenter. ...
RESULTS The performance of the automatic segmenter can be measured using a technique introduced in [1] for evaluation of text segmentation algorithms and successively adopted in the Topic Detection and ...
doi:10.1145/544290.544294
fatcat:bhksxz3pcnh3jfdaf5wexmojxu
A Measure Of Melodic Similarity Based On A Graph Representation Of The Music Structure
2009
Zenodo
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EXPERIMENTAL EVALUATION The methodology has been experimentally evaluated using the dataset provided for the Symbolic Melodic Similarity task at MIREX 2005 [17] . ...
All the approaches have been evaluated on the same test collection. Segmentation is carried out at the surface level and inherited by the higher levels. ...
doi:10.5281/zenodo.1415010
fatcat:3gasv7yx5jcunpx2amy2fr4dh4
Mining Melodic Patterns in Large Audio Collections of Indian Art Music
2014
2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems
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An evaluation based on expert feedback on a subset of the dataset shows that the discovered melodic patterns are musically relevant. ...
We compute similarity between melodic patterns using dynamic time warping (DTW). ...
In addition, we evaluate four different variants of the DTW cost function for computing melodic similarity. ...
doi:10.1109/sitis.2014.73
dblp:conf/sitis/GulatiSIS14
fatcat:sxuxbdsi7vbalhwvtujjkjatqu
Automatic Solfège Assessment
2015
Zenodo
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Furthermore, the window of evaluation containing the melodic segments can be restricted to begin closer to the target note. ...
Each melodic fragment is represented by f il , where i is the segment index and l is the relative index of each frame within this segment. ...
doi:10.5281/zenodo.1414720
fatcat:2sxnfgkfebba3a2ul26smp2aqu
Query by humming of midi and audio using locality sensitive hashing
2008
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
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The method constructs an index of melodic fragments by extracting pitch vectors from a database of melodies. ...
For each query pitch vector, the method searches for similar melodic fragments in the database to obtain a list of candidate melodies. This is performed efficiently by using LSH. ...
The lower panel shows the normalized query and the normalized matching segment for distance evaluation. ...
doi:10.1109/icassp.2008.4518093
dblp:conf/icassp/RyynanenK08
fatcat:ar6zvfp7irasxbf4i6hrx6gaw4
UsulandMakamdriven automatic melodic segmentation for Turkish music
2014
Journal of New Music Research
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Automatic melodic segmentation is a topic studied extensively, aiming at developing systems that perform grouping of musical events. ...
Here, we consider the problem of automatic segmentation via supervised learning from a dataset containing segmentation labels of an expert. ...
Tests and results There exists no generally accepted method for comparative evaluation of melodic segmentation systems (Nooijer et al., 2008) . ...
doi:10.1080/09298215.2014.924535
fatcat:r22fc3hftzfxnc6iqb7x7ch4oy
Landmark Detection In Hindustani Music Melodies
2014
Proceedings of the SMC Conferences
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We also plan to investigate other melodic landmarks and different evaluation measures for label annotations. Copyright: c 2014 Sankalp Gulati et al. ...
RESULTS AND DISCUSSION We evaluate two tasks, nyās segment boundary annotation, and nyās and non-nyās segment label annotation. ...
doi:10.5281/zenodo.850769
fatcat:2ayfli5gardpppuy5odrkqoucm
Detecting Melodic Motifs From Audio For Hindustani Classical Music
2012
Zenodo
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Table 1 shows the number of such phrase segments available for the evaluation of the motif detection methods. ...
It is not clear whether rhythmic cues would help in this more general melodic segmentation. ...
doi:10.5281/zenodo.1417587
fatcat:55rhgdbyojfhvgxa22ry3olf6e
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