An Independent Component Analysis Approach to Automatic Music Transcription

Abdallah SA, Plumbley MD. An Independent Component Analysis Approach to Automatic Music Transcription. In: AES Convention 114. Audio Engineering Society; 2003. Paper 5754. Available from: https://aes.org/publications/elibrary-page/?id=12558

@inproceedings{Abdallah2003_12558,
  author = {Abdallah, Samer A. and Plumbley, Mark D.},
  title = {{An Independent Component Analysis Approach to Automatic Music Transcription}},
  booktitle = {AES Convention 114},
  note = {Paper 5754},
  year = {2003},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12558}
}

TY  - CPAPER
TI  - An Independent Component Analysis Approach to Automatic Music Transcription
AU  - Abdallah, Samer A.
AU  - Plumbley, Mark D.
T2  - AES Convention 114
M1  - Paper 5754
PY  - 2003
DA  - 2003/03/06
UR  - https://aes.org/publications/elibrary-page/?id=12558
PB  - Audio Engineering Society
LA  - en
AB  - We used Independent Component Analysis (ICA) with sparse coding to analyze music spectral sequences. We modelled an audio spectrum as an approximate mixture of the spectra of individual notes, using our ICA approach to 'unmix' this to find the individual notes and note spectra. Notes are assumed to be approximately independent, and sparse (mostly off). Results on synthesized harpsichord music are encouraging, producing an approximate piano-roll transcription, and a passable rendition of the original music when resynthesized. We are currently working to extend and improve this through the use of temporal information of note activities and to handle more complex timbral behaviour.
ER  -