Ambiguity in Automatic Chord Transcription: Recognizing Major and Minor Chords
Automatic chord transcription is the process of transforming the harmonic content of a music signal into chord symbols. We use difficult chord transcription cases in the Beatles material to compare human performance to computer performance. Surprisingly, in many cases musically oriented participants are unable to determine whether the chord is major or minor. We further analyze ambiguous chords and find out that there are often no clear rules for chord interpretation. This suggests that the standard evaluation method in automatic chord transcription based on a single ground truth is inadequate.
KeywordsAutomatic chord transcription Signal processing Musical context Major and minor chords Listening experiment
This work has been supported by the Helsinki Doctoral Programme in Computer Science and the Academy of Finland (grant number 118653).
- 1.Bello, J., Pickens, J.: A robust mid-level representation for harmonic content in music signals. In: Proceedings of the 6th International Conference on Music Information Retrieval (2005)Google Scholar
- 2.Cho, T., Weiss, R., Bello, J.: Exploring common variations in state of the art chord recognition systems. In: Proceedings of the 7th Sound and Music Computing Conference (2010)Google Scholar
- 3.Fujishima, T.: Realtime chord recognition of musical sound: a system using common Lisp music. In: Proceedings of the 25th International Computer Music Conference (1999)Google Scholar
- 4.Fujita, T., Hagino, Y., Kubo, H., Sato, G.: The Beatles - Complete Scores. Hal Leonard Corporation, London (1993)Google Scholar
- 6.Mauch, M., Noland, K., Dixon, S.: Using musical structure to enhance automatic chord transcription. In: Proceedings of the 10th International Conference on Music Information Retrieval (2009)Google Scholar
- 7.Mauch, M., Dixon, S.: Approximate note transcription for the improved identification of difficult chords. In: Proceedings of the 11th International Conference on Music Information Retrieval (2010)Google Scholar
- 8.Mauch, M.: Automatic chord transcription from audio using computational models of musical context. Ph.D. thesis (2010)Google Scholar
- 9.Mauch, M.: Simple Chord Estimate: Submission to the MIREX Chord Estimation Task (2010)Google Scholar
- 10.MIREX Wiki. http://www.music-ir.org/mirex/wiki/
- 11.Papadopoulos, H., Peeters, G.: Large-scale study of chord estimation algorithms based on chroma representation and HMM. In: Proceedings of the 5th International Workshop on Content-Based Multimedia Indexing (2007)Google Scholar
- 12.Reference Annotations: The Beatles. Centre for Digital Music at Queen Mary, University of London (2010). http://isophonics.net/content/reference-annotations- beatles