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Automatic music transcription is usually approached by using a time-frequency (TF) representation such as the short-time Fourier transform (STFT) spectrogram or the constant-Q transform. In this paper, we propose a novel yet simple TF representation that capitalizes the effectiveness of spectral flux features in highlighting note onset times. We refer to(More)
This paper presents a study on frame-level multi-pitch estimation (MPE) for polyphonic piano music based on sparse representation approach. In this approach, a multi-pitch input spectrum is represented by a sparse linear combination of a large number of spectrum exemplars in a given dictionary. By estimating the sparse weight vector and identifying its(More)
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