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Techniques based on non-negative matrix factorization (NMF) can be used to efficiently decompose a magnitude spectrogram into a set of template (column) vectors and activation (row) vectors. To better control this decomposition, NMF has been extended using prior knowledge and parametric models. In this paper, we present such an extended approach that uses(More)
The general goal of music synchronization is to automatically align the multiple information sources such as audio recordings , MIDI files, or digitized sheet music related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness and accuracy. In this paper, we introduce novel audio features(More)
Chroma-based audio features, which closely correlate to the aspect of harmony, are a well-established tool in processing and analyzing music data. There are many ways of computing and enhancing chroma features, which results in a large number of chroma variants with different properties. In this paper, we present a chroma toolbox [13], which contains MATLAB(More)
A performance of a piece of music heavily depends on the musician's or conductor's individual vision and personal interpretation of the given musical score. As basis for the analysis of artistic idiosyncrasies, one requires accurate annotations that reveal the exact timing and intensity of the various note events occurring in the performances. In the case(More)
Large music content libraries often comprise multiple versions of a piece of music. To establish a link between different versions, automatic music alignment methods map each position in one version to a corresponding position in another version. Due to the leeway in interpreting a piece, any two versions can differ significantly, for example, in terms of(More)
We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals, and propose its usage as a means of evaluating and comparing the ro-bustness of audio processing algorithms. Music recordings encountered in practical applications are subject to varied, sometimes unpredictable degradation. For example, audio is degraded by(More)
Chroma-based audio features are a well-established tool for analyzing and comparing music data. By identifying spectral components that differ by a musical octave, chroma features show a high degree of invariance to variations in timbre. In this paper, we describe a novel procedure for making chroma features even more robust to changes in timbre and(More)
In recent years, source separation has been a central research topic in music signal processing, with applications in stereo-to-surround up-mixing, remixing tools for DJs or producers, instrument-wise equalizing, karaoke systems, and pre-processing in music analysis tasks. Musical sound sources, however, are often strongly correlated in time and frequency,(More)
In this paper, we introduce and discuss the task of sheet music-audio identification. Given a query consisting of a sequence of bars from a sheet music representation, the task is to find corresponding sections within an audio interpretation of the same piece. Two approaches are proposed: a semi-automatic approach using synchronization and a fully automatic(More)