Paper dossier

Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology

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Paper year

2023

Citations

9

Authors

7

Topic labels

3

Source readout

Source and corpus status

Venue

Transactions of the International Society for Music Information Retrieval

Source slug

tismir

Corpus placement

Core corpus

Similarity rows

6

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Run shadow-generalization-product-candidate-ranking-v1Top 50 surfaced

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Run label

shadow-generalization-product-candidate-ranking-v1

Snapshot

source-snapshot-shadow-generalization-v1-20260521

Scope: family global | run rank-83787b91ef

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Abstract

This paper introduces the Wagner Ring Dataset (WRD), a multi-modal and multi-version resource on the large-scale opera cycle Der Ring des Nibelungen by Richard Wagner. The Ring comprises four music dramas organized into eleven acts and 21 939 measures in total. Concerning sheet music, we processed a publicly available piano reduction (822 pages) of the full score with optical music recognition followed by extensive manual corrections to create a high-quality, machine-readable symbolic score. Concerning audio data, our corpus covers 16 recorded performances of the full Ring (three of which are publicly available thanks to copyright expiry), each lasting about 14-15 hours. To musically synchronize these versions among each other, we manually annotated all measure positions for three performances, which we transferred to the remaining performances via automated synchronization techniques. The dataset further comprises annotations of key and time signatures, scenes, and singing voice regions (libretto). Moreover, we provide note event annotations for all performances derived from the piano score. The WRD thus constitutes a comprehensive resource for developing algorithms for various music information retrieval tasks, complementing existing datasets with a complex opera scenario. For computational musicology, the WRD serves as a structured dataset that allows for studying the composition and performances of the Ring.

Authors

  • Ch. Weiß
  • Vlora Arifi-Müller
  • Michael Krause
  • Frank Zalkow
  • Stephanie Klauk
  • Rainer Kleinertz
  • Meinard Müller

Neighborhood labels

Topics

3 labels

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Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music Perception

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6 total neighborsEmbedding v1-title-abstract-1536-cleantext-r3

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