Sebastian Ewert

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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)
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)
Chroma-based audio features are a well-established tool for analyzing and comparing harmony-based Western music that is based on the equal-tempered scale. By identifying spectral components that differ by a musical octave, chroma features possess a considerable amount of robustness to changes in timbre and instrumentation. In this paper, we describe a novel(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 robustness of audio processing algorithms. Music recordings encountered in practical applications are subject to varied, sometimes unpredictable degradation. For example, audio is degraded by(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 that(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 disc jockeys or producers, instrument-wise equalizing, karaoke systems, and preprocessing in music analysis tasks. Musical sound sources, however, are often strongly correlated in time and(More)
In this paper, we present automated methods for estimating note intensities in music recordings. Given a MIDI file (representing the score) and an audio recording (representing an interpretation) of a piece of music, our idea is to parametrize the spectrogram of the audio recording by exploiting the MIDI information and then to estimate the note intensities(More)