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Evaluating Melodic Segmentation [chapter]

Christian Spevak, Belinda Thom, Karin Höthker
2002 Lecture Notes in Computer Science  
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]

Aitor Arronte-Alvarez, Francisco Gómez-Martin
2019 arXiv   pre-print
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

Marcelo Enrique Rodríguez-López, Anja Volk, Dimitrios Bountouridis
2014 Zenodo  
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

Marcelo E. Rodríguez-López, Anja Volk
2015 Zenodo  
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

Yasunori Ohishi, Masataka Goto, Katunobu Itou, Kazuya Takeda
2007 Zenodo  
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

Berit Janssen, Peter Van Kranenburg, Anja Volk
2015 Zenodo  
[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

Massimo Melucci, Nicola Orio
2002 Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries - JCDL '02  
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

Massimo Melucci, Nicola Orio
2002 Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries - JCDL '02  
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

Nicola Orio, Antonio Rodà
2009 Zenodo  
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

Sankalp Gulati, Joan Serra, Vignesh Ishwar, Xavier Serra
2014 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems  
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

Rodrigo Schramm, Helena De Souza Nunes, Cláudio Rosito Jung
2015 Zenodo  
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

M. Ryynanen, A. Klapuri
2008 2008 IEEE International Conference on Acoustics, Speech and Signal Processing  
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

Barış Bozkurt, M. Kemal Karaosmanoğlu, Bilge Karaçalı, Erdem Ünal
2014 Journal of New Music Research  
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

Sankalp Gulati, Joan Serrà, Kaustuv K. Ganguli, Xavier Serra
2014 Proceedings of the SMC Conferences  
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

Joe Cheri Ross, P. Vinutha T., Preeti Rao
2012 Zenodo  
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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