Abstract
In this paper, we present a technique for tracking groups of partials in musical signals, based on networks of adaptive oscillators. We show how synchronization of adaptive oscillators can be utilized to detect periodic patterns in outputs of a human auditory model and thus track stable frequency components (partials) in musical signals. We present the integration of the partial tracking model into a connectionist system for transcription of polyphonic piano music. We provide a short overview of our transcription system and present its performance on transcriptions of several real piano recordings.
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References
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Marolt, M. (2005). A Connectionist Model of Finding Partial Groups in Music Recordings with Application to Music Transcription. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_119
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DOI: https://doi.org/10.1007/3-211-27389-1_119
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
Online ISBN: 978-3-211-27389-0
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