Published April 14, 2022 | Version v1
Other Open

Supplementary data - learned dictionaries and estimations

Creators

  • 1. ROR icon Institut de Recherche en Informatique et Systèmes Aléatoires
  • 2. ROR icon IMT Atlantique
  • 3. CNRS Délégation Bretagne et Pays de Loire
  • 4. ROR icon Institut National des Sciences Appliquées de Rennes

Description

Supplementary data for the paper [1]. It contains the learned dictionaries, assumed to be already computed in the code (https://github.com/cohenjer/TransSSCNMF). It also contains all estimations obtained by using the different models.

[1] Wu, H., Marmoret, A., & Cohen, J. E. (2022). Semi-Supervised Convolutive NMF for Automatic Piano Transcription. In Sound and Music Computing 2022.

 

 

Files

Data_CNMF_SMC_paper.zip

Files (5.4 GB)

Name Size Download all
md5:2665a88ec5547ecc0bcad30092aa1459
5.4 GB Preview Download

Additional details

Related works

Is supplement to
Conference paper: arXiv:2202.04989 (arXiv)

Dates

Accepted
2022-04
Paper accepted at SMC

Software

Repository URL
https://github.com/cohenjer/TransSSCNMF
Programming language
Python