Cyclic tempogram—A mid-level tempo representation for musicsignals

Grosche, Peter; Müller, Meinard; Kurth, Frank

doi:10.1109/icassp.2010.5495219

Cited by 62 publications

(58 citation statements)

References 10 publications

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“…The peaks of the resulting beat spectrum B represent the strength of BPM values in the signal [18]. But they do not take into account harmonics, i.e., the fact that a 30 BPM peak usually implies a 60 BPM peak [19,20]. Therefore we derive an enhanced beat spectrum BE, which boosts frequencies that are supported by certain harmonics:…”

Section: Estimating the Dominant Pulsementioning

confidence: 98%

Exploiting global features for tempo octave correction

Schreiber¹,

Müller

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Tempo estimation is a fundamental problem in music information retrieval. Most approaches attempt to solve two problems: first finding a dominant pulse and second correcting the metrical level of this pulse. The latter has also been dubbed fixing the octave error. We propose an algorithm for tempo estimation that addresses both problems mostly independently. While using a standard pulse detection technique, for octave error correction, we exploit a simple relationship between a single global feature, average spectral novelty, and listener perception of musical tempo. The proposed method is extremely simple. Nevertheless, it outperforms most existing tempo estimation methods and is on par with the best-performing ones. It thus exemplifies that a global feature-based approach can significantly improve tempo estimation.

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Section: Estimating the Dominant Pulsementioning

confidence: 98%

Exploiting global features for tempo octave correction

Schreiber¹,

Müller

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…One of the issues facing tempo induction is that algorithms frequently make octave errors, i.e. they estimate the tempo to be either half or twice (a third or thrice) the actual ground truth tempo [13,14]. It is frequently the case that this ambiguity also exists with human tapping; selecting the right tempo between two integer-related candidates is challenging.…”

Section: Introductionmentioning

confidence: 99%

An effective, simple tempo estimation method based on self-similarity and regularity

Tzanetakis

Percival

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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Tempo estimation is a fundamental problem in music information retrieval. It also forms the basis of other types of rhythmic analysis such as beat tracking and pattern detection. There is a large body of work in tempo estimation using a variety of different approaches that differ in their accuracy as well as their complexity. Fundamentally they take advantage of two properties of musical rhythm: 1) the music signal tends to be self-similar at periodicities related to the underlying rhythmic structure, 2) rhythmic events tend to be spaced regularly in time. We propose an algorithm for tempo estimation that is based on these two properties. We have tried to reduce the number of steps, parameters and modeling assumptions while retaining good performance and causality. The proposed approach outperforms a large number of existing tempo estimation methods and has similar performance to the best-performing ones. We believe that we have conducted the most comprehensive evaluation to date of tempo induction algorithms in terms of number of datasets and tracks.

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“…Instead of extracting tempo and beat information explicitly, various spectrogram-like representations have been proposed for visualizing tempo-related information over time. Such mid-level representations include tempograms [13,14,15], rhythmograms [16], or beat spectrograms [4,17]. Cyclic versions of time-tempo representations, which possess a high degree of robustness to pulse level switches, have been introduced in [15,17].…”

Section: Introductionmentioning

confidence: 99%

Novel audio features for capturing tempo salience in music recordings

Thoshkahna

Müller

Kulkarni

et al. 2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In music compositions, certain parts may be played in an improvisational style with a rather vague notion of tempo, while other parts are characterized by having a clearly perceivable tempo. Based on this observation, we introduce in this paper some novel audio features for capturing tempo-related information. Rather than measuring the specific tempo of a local section of a given recording, our objective is to capture the existence or absence of a notion of tempo, a kind of tempo salience. By a quantitative analysis within an Indian music scenario, we demonstrate that our audio features capture the aspect of tempo salience well, while being independent of continuous fluctuations and local changes in tempo

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Cyclic tempogram—A mid-level tempo representation for musicsignals

Cited by 62 publications

References 10 publications

Exploiting global features for tempo octave correction

Exploiting global features for tempo octave correction

An effective, simple tempo estimation method based on self-similarity and regularity

Novel audio features for capturing tempo salience in music recordings

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