[PDF][PDF] Evaluating Automatic Polyphonic Music Transcription.
A McLeod, M Steedman - ISMIR, 2018 - sap.ist.i.kyoto-u.ac.jp
ABSTRACT Automatic Music Transcription (AMT) is an important task in music information
retrieval. Prior work has focused on multiple fundamental frequency estimation (multi-pitch …
retrieval. Prior work has focused on multiple fundamental frequency estimation (multi-pitch …
From audio to music notation
Abstract 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 …
practices for making sense of music data from various modalities, including audio, video …
Performance MIDI-to-score conversion by neural beat tracking
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 …
musical scores. Previous works on rhythm quantisation are limited to the use of probabilistic …
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
Piano audio-to-score transcription (A2S) is an important yet underexplored task with
extensive applications for music composition, practice, and analysis. However, existing end …
extensive applications for music composition, practice, and analysis. However, existing end …
ACPAS: a dataset of aligned classical piano audio and scores for audio-to-score transcription
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 …
automatic music audio-to-score transcription research. The dataset contains 497 distinct …