Automatic Scoring of Guitar Chords

Mazhar F, Heittola T, Virtanen T, Holm J. Automatic Scoring of Guitar Chords. In: AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio. Audio Engineering Society; 2012. Paper 1-3. Available from: https://aes.org/publications/elibrary-page/?id=16184

@inproceedings{Mazhar2012_16184,
  author = {Mazhar, Fawad and Heittola, Toni and Virtanen, Tuomas and Holm, Jukka},
  title = {{Automatic Scoring of Guitar Chords}},
  booktitle = {AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio},
  note = {Paper 1-3},
  year = {2012},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16184}
}

TY  - CPAPER
TI  - Automatic Scoring of Guitar Chords
AU  - Mazhar, Fawad
AU  - Heittola, Toni
AU  - Virtanen, Tuomas
AU  - Holm, Jukka
T2  - AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio
M1  - Paper 1-3
PY  - 2012
DA  - 2012/03/06
UR  - https://aes.org/publications/elibrary-page/?id=16184
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes a novel approach for detecting the correctness of musical chords played by guitar. The approach is based on pattern matching technique applied on database of chords and their typical mistakes played with multiple guitars. Spectrum of the chord is whitened and a certain region is selected as a feature vector. The cosine distance is calculated between chord to be tested and a reference chord database, chord detection is done based on the minimum distance. The proposed system is evaluated with isolated chords with different noise conditions. The system shows approximately 77% accuracy in scoring the correctness of played chords with a medium sized database.
ER  -