Selective Acquisition Techniques for Enculturation-Based Melodic Phrase Segmentation

No abstract is available for this paper.

• Publication year

  2015

• Venue

  International Society for Music Information Retrieval Conference

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• IDyOT: A Computational Theory of Creativity as Everyday Reasoning from Learned Information

  2015cited by this paper
• The Meertens Tune Collections

  2014cited by this paper
• Cognitive music modelling: An information dynamics approach

  2012cited by this paper
• Incidental and online learning of melodic structure.

  2011cited by this paper
• Generation of Folk Song Melodies using Bayes Transforms

  2011cited by this paper
• A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions and Integer Partitions

  2010cited by this paper
• The perception of structural boundaries in melody lines of Western popular music

  2009cited by this paper
• Information dynamics: patterns of expectation and surprise in the perception of music

  2009cited by this paper
• Introduction to Information Retrieval: Scoring, term weighting, and the vector space model

  2008cited by this paper
• n-gram-based approach to composer recognition

  2008cited by this paper
• Sweet Anticipation: Music and the Psychology of Expectation

  2006cited by this paper
• Musical Parallelism and Melodic Segmentation: : A Computational Approach

  2006cited by this paper
• The perception of musical phrase structure: a cross-cultural ERP study.

  2006cited by this paper
• The information dynamics of melodic boundary detection

  2006cited by this paper
• The construction and evaluation of statistical models of melodic structure in music perception and composition

  2005cited by this paper
• Experiments on Segmentation Techniques for Music Documents Indexing

  2005cited by this paper
• Improved Methods for Statistical Modelling of Monophonic Music

  2004cited by this paper
• Methods for Combining Statistical Models of Music

  2004cited by this paper
• Segmentation of Hungarian Folk Songs Using an Entropy-Based Learning System

  2004cited by this paper
• FMRI investigation of cross-cultural music comprehension

  2003cited by this paper
• An Empirical Comparison of the Performance of PPM Variants on a Prediction Task with Monophonic Music

  2003cited by this paper
• The Local Boundary Detection Model (LBDM) and its Application in the Study of Expressive Timing

  2001cited by this paper
• Wagner “Alte Weise”: Une approche perceptive

  1998cited by this paper
• A Maximum Entropy Approach to Natural Language Processing

  1996cited by this paper
• Multiple viewpoint systems for music prediction

  1995cited by this paper
• Folk music of Hungary

  1971cited by this paper
• Experiences and Results in Systematizing Hungarian Folk-Songs

  1965cited by this paper
• Meaning in music and information theory.

  1957cited by this paper

• Mel2Word: A Text-Based Melody Representation for Symbolic Music Analysis

  2024cites this paper
• Documenting a song culture: the Dutch Song Database as a resource for musicological research

  2019cites this paper