Paper dossier

Piano Concerto Dataset (PCD): A Multitrack Dataset of Piano Concertos

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Paper year

2023

Citations

6

Authors

6

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

The piano concerto is a genre of central importance in Western classical music, often consisting of a virtuoso solo part for piano and an orchestral accompaniment. In this article, we introduce the Piano Concerto Dataset (PCD), which comprises a collection of excerpts with separate piano and orchestral tracks from piano concertos ranging from the Baroque to the Post-Romantic era. In particular, using existing backing tracks by the music publisher Music Minus One, we recorded excerpts from 15 different piano concertos played by five interpreters on various instruments under different acoustic conditions. The key challenge of playing along with pre-recorded orchestral accompaniments lies in the exact synchronization of the performer. For guiding the pianists for obtaining a high synchronization accuracy, we used additional click tracks generated with measure and beat annotations of the orchestral tracks, which also are provided in the PCD. The dataset is relevant for a variety of Music Information Retrieval (MIR) tasks, including music source separation, automatic accompaniment, music synchronization, editing, and upmixing.

Authors

  • Yigitcan Özer
  • Simon Schwär
  • Vlora Arifi-Müller
  • Jeremy Lawrence
  • Emre ŞEN
  • Meinard Müller

Neighborhood labels

Topics

3 labels

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Music and Audio ProcessingSpeech and Audio ProcessingMusic Technology and Sound Studies

Neighbor surface

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

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