MedleyDB: A multitrack dataset for annotation-intensive MIR research

Rachel Bittner, Justin Salamon, Mike Tierney, Matthias Mauch, Chris Cannam, Juan Bello

Research output: Contribution to conferencePaper

Abstract

We introduce MedleyDB: a dataset of annotated, royalty-free multitrack recordings. The dataset was primarily developed to support research on melody extraction, addressing important shortcomings of existing collections. For each song we provide melody f0 annotations as well as instrument activations for evaluating automatic instrument recognition. The dataset is also useful for research on tasks that require access to the individual tracks of a song such as source separation and automatic mixing. In this paper we provide a detailed description of MedleyDB, including curation, annotation, and musical content. To gain insight into the new challenges presented by the dataset, we run a set of experiments using a state-of-the-art melody extraction algorithm and discuss the results. The dataset is shown to be considerably more challenging than the current test sets used in the MIREX evaluation campaign, thus opening new research avenues in melody extraction research.

Original languageEnglish (US)
Pages155-160
Number of pages6
StatePublished - Jan 1 2014
Event15th International Society for Music Information Retrieval Conference, ISMIR 2014 - Taipei, Taiwan, Province of China
Duration: Oct 27 2014Oct 31 2014

Conference

Conference15th International Society for Music Information Retrieval Conference, ISMIR 2014
CountryTaiwan, Province of China
CityTaipei
Period10/27/1410/31/14

Fingerprint

Source separation
Chemical activation
Annotation
Melody
Experiments
Song
Evaluation
Royalty
Experiment
Activation
Curation

ASJC Scopus subject areas

  • Music
  • Information Systems

Cite this

Bittner, R., Salamon, J., Tierney, M., Mauch, M., Cannam, C., & Bello, J. (2014). MedleyDB: A multitrack dataset for annotation-intensive MIR research. 155-160. Paper presented at 15th International Society for Music Information Retrieval Conference, ISMIR 2014, Taipei, Taiwan, Province of China.

MedleyDB : A multitrack dataset for annotation-intensive MIR research. / Bittner, Rachel; Salamon, Justin; Tierney, Mike; Mauch, Matthias; Cannam, Chris; Bello, Juan.

2014. 155-160 Paper presented at 15th International Society for Music Information Retrieval Conference, ISMIR 2014, Taipei, Taiwan, Province of China.

Research output: Contribution to conferencePaper

Bittner, R, Salamon, J, Tierney, M, Mauch, M, Cannam, C & Bello, J 2014, 'MedleyDB: A multitrack dataset for annotation-intensive MIR research', Paper presented at 15th International Society for Music Information Retrieval Conference, ISMIR 2014, Taipei, Taiwan, Province of China, 10/27/14 - 10/31/14 pp. 155-160.
Bittner R, Salamon J, Tierney M, Mauch M, Cannam C, Bello J. MedleyDB: A multitrack dataset for annotation-intensive MIR research. 2014. Paper presented at 15th International Society for Music Information Retrieval Conference, ISMIR 2014, Taipei, Taiwan, Province of China.
Bittner, Rachel ; Salamon, Justin ; Tierney, Mike ; Mauch, Matthias ; Cannam, Chris ; Bello, Juan. / MedleyDB : A multitrack dataset for annotation-intensive MIR research. Paper presented at 15th International Society for Music Information Retrieval Conference, ISMIR 2014, Taipei, Taiwan, Province of China.6 p.
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