Automatic Chord Identifcation using a Quantised Chromagram

Harte C, Sandler M. Automatic Chord Identifcation using a Quantised Chromagram. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6412. Available from: https://aes.org/publications/elibrary-page/?id=13128

@inproceedings{Harte2005_13128,
  author = {Harte, Christopher and Sandler, Mark},
  title = {{Automatic Chord Identifcation using a Quantised Chromagram}},
  booktitle = {AES Convention 118},
  note = {Paper 6412},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13128}
}

TY  - CPAPER
TI  - Automatic Chord Identifcation using a Quantised Chromagram
AU  - Harte, Christopher
AU  - Sandler, Mark
T2  - AES Convention 118
M1  - Paper 6412
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13128
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents an approach to the problem of identifying musical chords from audio recordings. In our approach, a tuning algorithm is applied to a 36-bin chromagram to accurately locate the boundaries between semitones. This allows the calculation of a 12-bin semitone-quantised chromagram, which can then be compared with a set of predefined chord templates in order to generate a sequence of chord estimates. The performance of our method is evaluated by comparing the results with a test database of hand-labelled pieces, from which the initial results are encouraging. The paper concludes with a discussion of some possible improvements to the algorithms presented.
ER  -