• Corpus ID: 2600270

Towards a Computational Model of Melody Identification in Polyphonic Music

@inproceedings{Madsen2007TowardsAC,
  title={Towards a Computational Model of Melody Identification in Polyphonic Music},
  author={S{\o}ren Tjagvad Madsen and Gerhard Widmer},
  booktitle={IJCAI},
  year={2007}
}
This paper presents first steps towards a simple, robust computational model of automatic melody identification. Based on results from music psychology that indicate a relationship between melodic complexity and a listener's attention, we postulate a relationship between musical complexity and the probability of a musical line to be perceived as the melody. We introduce a simple measure of melodic complexity, present an algorithm for predicting the most likely melody note at any point in a… 

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References

SHOWING 1-10 OF 39 REFERENCES
Melodic analysis with segment classes
TLDR
A representation for melodic segment classes is presented and it is applied to sequential pattern discovery and to the statistical modeling of musical style.
A Musical Pattern Discovery System Founded on a Modeling of Listening Strategies
TLDR
This chapter discusses motivic analysis as a set of partially detailed operations that carry out a top–down hierarchical segmentation of the musical work, which limits a detailed understanding of musical structure.
Music and Memory: An Introduction
This far-ranging book shows how human memory influences the organization of music. The book is divided into two parts. The first part presents basic ideas about memory and perception from cognitive
Manipulation of music for melody matching
TLDR
This paper analyzes the propeties of music, music perception, and musicdatabase users, and uses the analysis to propose alternative techniques for extracting monophonic melodies from polyphonic music; it is believed that such melodies can subsequently be used formatching of queries to data.
Structural and affective aspects of music from statistical audio signal analysis
TLDR
The analysis shows strong evidence that signal properties and human reactions are related, suggesting applications of these techniques to music understanding and music information-retrieval systems.
Structural and affective aspects of music from statistical audio signal analysis: Special Topic Section on Computational Analysis of Style
Understanding and modeling human experience and emotional response when listening to music are important for better understanding of the stylistic choices in musical composition. In this work, we
Melodic track identification in MIDI files
TLDR
This work developed a random forest classifier system that assigns a probability of being a melodic line to each track of the target melody, and results were obtained testing different MIDI databases.
Efficient Melody Retrieval with Motif Contour Classes
TLDR
Empirical and analytical results on the retrieval quality, the complexity, and quality/efficiency trade-off in the use of motif contour classes for efficient retrieval of melodies from music collections are presented.
The Performance of Music
Separating voices in MIDI
TLDR
An algorithm for converting midi events into logical voices based on the pitch proximity principle is presented and new heuristics are introduced and evaluated in order to handle unsolved situations.
...
...