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Musical Features for Automatic Music Transcription Evaluation
(Transactions of the International Society for Music Information Retrieval (TISMIR, 2021)
This technical report gives a detailed, formal description of the features introduced in the paper: Adrien Ycart, Lele Liu, Emmanouil Benetos and Marcus T. Pearce. "Investigating the Perceptual Validity of Evaluation Metrics ...
From Audio to Music Notation
(Springer International Publishing, 2021-08-03)
The field of Music Information Retrieval (MIR) focuses on creating methods and practices for making sense of music data from various modalities, including audio, video, images, scores and metadata. Within MIR, a core problem ...
Joint multi-pitch detection and score transcription for polyphonic piano music
(IEEE, 2021-06-06)
Research on automatic music transcription has largely focused on multi-pitch detection; there is limited discussion on how to obtain a machine- or human-readable score transcription. In this paper, we propose a method for ...
Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription
(Ubiquity Press, 2020)
Automatic Music Transcription (AMT) is usually evaluated using low-level criteria, typically by counting the numbers of errors, with equal weighting. Yet, some errors (e.g. out-of-key notes) are more salient than others. ...
ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription
(2021-11-11)
We create the ACPAS dataset with aligned audio and scores on classical piano music for automatic music audio-to-score transcription research. The dataset contains 497 distinct music scores aligned with 2189 audio performances, ...
Performance MIDI-to-score conversion by neural beat tracking
(2022-12-18)
Rhythm quantisation is an essential part of converting performance MIDI recordings into musical scores. Previous works on rhythm quantisation are limited to the use of probabilistic or statistical methods. In this paper, ...