Learn More
This paper presents theoretical and experimental results about constrained non-negative matrix factorization (NMF) to model the excitation of the musical instruments. These excitations represent vibrating objects, while the filter represents the resonance structure of the instrument, which colors the produced sound. We propose to model the excitations as(More)
In this letter, we propose a novel matching pursuit-based method for transient modeling with application to parametric audio coding. The overcomplete dictionary for the matching pursuit is composed of wavelet functions that implement a wavelet-packet filter bank. The proposed transient modeling method is suitable to be integrated into a parametric audio(More)
This work evaluates two strategies for predominant fundamental frequency (f 0) estimation in the context of melodic transcription from flamenco singing with guitar accompaniment. The first strategy extracts the f 0 from salient pitch contours computed from the mixed spectrum; the second separates the voice from the guitar and then performs mono-phonic f 0(More)
In this paper, we present an audio to score alignment framework based on spectral factorization and online Dynamic Time Warping (DTW). The proposed framework has two separated stages: preprocessing and alignment. In the first stage, we use Non-negative Matrix Factoriza-tion (NMF) to learn spectral patterns (i.e. basis functions) associated to each(More)
Harmonic decompositions are a powerful tool dealing with polyphonic music signals in some potential applications such as music visualization, music transcription and instrument recognition. The usefulness of a harmonic decomposition relies on the design of a proper harmonic dictionary. Music scene-adaptive harmonic atoms have been used with this purpose.(More)