S. Abdallah, K. Noland, M. Sandler, A. Michael, C. Casey et al., Theory and evaluation of a bayesian music structure extractor, International Conference on Music Information Retrieval (ISMIR 2005), pp.420-425, 2005.

E. Chew and X. Wu, Separating Voices in Polyphonic Music: A Contig Mapping Approach, International Symposium on Computer Music Modeling and Retrieval (CMMR 2005), pp.1-20, 2005.
DOI : 10.1007/978-3-540-31807-1_1

M. Scott, C. , and C. Ariza, mu- sic21: A toolkit for computer-aided musicology and symbolic music data, International Society for Music Information Retrieval Conference, 2010.

J. De-nooijer, F. Wiering, A. Volk, J. Hermi, and . Tabachneck-schijf, An experimental comparison of human and automatic music segmentation, International Computer Music Conference, pp.399-407, 2008.

T. Reinier-de-valk, E. Weyde, and . Benetos, A machine learning approach to voice separation in lute tablature, International Society for Music Information Retrieval Conference, pp.555-560, 2013.

D. Deutsch, Grouping mechanisms in music. The psychology of music, pp.299-348, 1999.

D. Huron, Tone and Voice: A Derivation of the Rules of Voice-Leading from Perceptual Principles, Music Perception, vol.19, issue.1, pp.1-64, 2001.
DOI : 10.1525/mp.2001.19.1.1

D. Huron, Music Information Processing Using the Humdrum Toolkit: Concepts, Examples, and Lessons, Computer Music Journal, vol.10, issue.3, pp.11-26, 2002.
DOI : 10.2307/40285700

A. Ishigaki, M. Matsubara, and H. Saito, Prioritized contig combining to segragate voices in polyphonic music, Sound and Music Computing Conference, 2011.

A. Jordanous, Voice separation in polyphonic music: A data-driven approach, International Computer Music Conference, 2008.

I. Karydis, A. Nanopoulos, and A. Papadopoulos, Emilios Cambouropoulos, and Yannis Manolopoulos. Horizontal and vertical integration/segregation in auditory streaming: a voice separation algorithm for symbolic musical data, Sound and Music Computing Conference, 2007.

J. Kilian, H. Holger, B. Phillip, . Kirlin, E. Paul et al., Voice separationa local optimization approach VOISE: learning to segregate voices in explicit and implicit polyphony, International Conference on Music Information Retrieval International Conference on Music Information Retrieval (ISMIR 2005), pp.552-557, 2002.

M. Hanna and . Lukashevich, Towards quantitative measures of evaluating song segmentation, International Conference on Music Information Retrieval, pp.375-380, 2008.

S. Tjagvad-madsen and G. Widmer, Separating voices in midi, International Conference on Music Information Retrieval, pp.57-60, 2006.

D. Rafailidis and A. Nanopoulos, Emilios Cambouropoulos, and Yannis Manolopoulos. Detection of stream segments in symbolic musical data, International Conference on Music Information Retrieval, 2008.

D. Temperley, The Cognition of Basic Musical Structures. Number 0-262-20134-8, 2001.