ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.00566
16
4

Evaluating Non-aligned Musical Score Transcriptions with MV2H

3 June 2019
Andrew Mcleod
ArXivPDFHTML
Abstract

The original MV2H metric was designed to evaluate systems which transcribe from an input audio (or MIDI) piece to a complete musical score. However, it requires both the transcribed score and the ground truth score to be time-aligned with the input. Some recent work has begun to transcribe directly from an audio signal into a musical score, skipping the alignment step. This paper introduces an automatic alignment method based on dynamic time warp which allows for MV2H to be used to evaluate such non-aligned transcriptions. This has the additional benefit of allowing non-aligned musical scores---which are significantly more widely available than aligned ones---to be used as ground truth. The code for the improved MV2H, which now also includes a MusicXML parser, and allows for key and time signature changes, is available at www.github.com/apmcleod/MV2H.

View on arXiv
Comments on this paper