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Locating boundaries between coherent and/or repetitive segments of a time series is a challenging problem pervading many scientific domains. In this paper we propose an unsupervised method for boundary detection, combining three basic principles: novelty, homogene-ity, and repetition. In particular, the method uses what we call structure features, a(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)
Automated beat tracking and tempo estimation from music recordings become challenging tasks in the case of non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation which captures predominant local pulse information. To this end, we first derive a tempogram by performing a local spectral(More)
The computer-based harmonic analysis of music recordings with the goal to automatically extract chord labels directly from the given audio data constitutes a major task in music information retrieval. In most automated chord recognition procedures, the given music recording is first converted into a sequence of chroma-based audio features and then pattern(More)
Performance analysis of recorded music material has become increasingly important in musicological research and music psychology. In this paper, we present various techniques for extracting performance aspects from field recordings of folk songs. Main challenges arise from the fact that the recorded songs are performed by non-professional singers, who(More)
The extraction of tempo and beat information from music recordings constitutes a challenging task in particular for non-percussive music with soft note onsets and time-varying tempo. In this paper, we introduce a novel mid-level representation that captures musically meaningful local pulse information even for the case of complex music. Our main idea is to(More)
The automated extraction of tempo and beat information from music recordings is a challenging task. Especially in the case of expressive performances, current beat tracking approaches still have significant problems to accurately capture local tempo deviations and beat positions. In this paper, we introduce a novel evaluation framework for detecting(More)
The extraction of local tempo and beat information from audio recordings constitutes a challenging task, particularly for music that reveals significant tempo variations. Furthermore, the existence of various pulse levels such as measure, tactus, and tatum often makes the determination of absolute tempo problematic. In this paper, we present a robust(More)
—Automatically inferring the structural properties of raw multimedia documents is essential in today's digitized society. Given its hierarchical and multi-faceted organization, musical pieces represent a challenge for current computational systems. In this article, we present a novel approach to music structure annotation based on the combination of(More)
Even though there is a rapidly growing corpus of available music recordings, there is still a lack of audio content-based retrieval systems allowing to explore large music collections without manually generated annotations. In this context, the query-by-example paradigm is commonplace: given an audio recording or a fragment of it (used as query or example),(More)