Orthogonal, exactly periodic subspace decomposition
IEEE Transactions on Signal Processing
High-resolution spectral analysis of mixtures of complex exponentials modulated by polynomials
IEEE Transactions on Signal Processing
Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model
IEEE Transactions on Audio, Speech, and Language Processing
A connectionist approach to automatic transcription of polyphonic piano music
IEEE Transactions on Multimedia
EURASIP Journal on Advances in Signal Processing - Special issue on digital audio effects
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Precise automatic music transcription requires accurate modeling and identification of the spectral content of the audio signal. Whereas a deterministic model in terms of modulated periodic signals allows to distinguish different notes, the presence of multiple notes separated by octaves poses a big problem since they share the same periodicity, and hence completely overlapping spectral content. In this paper we propose the introduction of a spectral model to allow distinction of such mixtures of spectral content at various octaves. Cyclic correlations are estimated at its pitch and decomposed into even and odd parts, corresponding to even and odd harmonics.