Similarity matrix processing for music structure analysis
Proceedings of the 1st ACM workshop on Audio and music computing multimedia
INFORMS Journal on Computing
A novel chroma representation of polyphonic music based on multiple pitch tracking techniques
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Genre classification of music by tonal harmony
Intelligent Data Analysis - Machine Learning and Music
Musical composer identification through probabilistic and feedforward neural networks
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
Melody, bass line, and harmony representations for music version identification
Proceedings of the 21st international conference companion on World Wide Web
On the Relative Importance of Individual Components of Chord Recognition Systems
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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We present a method to extract a description of the tonal aspects of music from polyphonic audio signals. We define this tonal description using different levels of abstraction, differentiating between low-level signal descriptors and high-level textual labels. We also establish different temporal scales for description, defining some features as being attached to a certain time instant, and other global descriptors as related to a wider segment. The description is validated by estimating the key of a piece. We also propose the description as a tonal representation of the polyphonic audio signal to measure tonal similarity between audio excerpts and to establish the tonal structure of a musical piece.