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The MIREX (Music Information Retrieval Evaluation eXchange) framework provides a common set of data to evaluate and compare a vast variety of MIR systems. This paper describes our submission to the audio melody extraction evaluation addressing the task of identifying the melody pitch contour from polyphonic musical audio. It shall give an overview about the(More)
This paper proposes an efficient approach for the identification of the predominant voice from polyphonic musical audio. The algorithm implements an auditory streaming model which builds upon tone objects and salient pitches. The formation of voices is based on the regular update of the frequency and the magnitude of so called streaming agents, which aim at(More)
This extended abstract outlines an efficient approach for the extraction of multiple fundamental frequencies (F0) from polyphonic musical audio. The algorithm consists of three analysis steps. At first a multi-resolution spectral analysis is performed on the audio signal. Then, the most salient pitches are identified using a pitch extraction algorithm ,(More)
The subject of this work is the study of how rhythmical description of music can be included in Music Information Retrieval works, but from a more musical point of view. The goal is to provide a suitable representation of rhythm and explore how useful it can be for many different applications. This new representation is based on the so called Rhythm(More)