Pedro Vera-Candeas

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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)
Real-time audio to score aligment is a valuable application in some music areas. This goal has been addressed from different point of views during the last years. Multipitch estimation was one of the first processing algortihm used for audio to score alignment. Here, a multipitch estimator is utilized to inform about the probability that a set of notes is(More)
This work evaluates two strategies for predominant fundamental frequency (f0) estimation in the context of melodic transcription from flamenco singing with guitar accompaniment. The first strategy extracts the f0 from salient pitch contours computed from the mixed spectrum; the second separates the voice from the guitar and then performs monophonic f0(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 Factorization (NMF) to learn spectral patterns (i.e. basis functions) associated to each(More)
Close-microphone techniques are extensively employed in many live music recordings, allowing for interference rejection and reducing the amount of reverberation in the resulting instrument tracks. However, despite the use of directional microphones, the recorded tracks are not completely free from source interference, a problem which is commonly known as(More)