Exploring common variations in state of the art chord recognition systems

Proceedings of the 7th Sound and Music Computing Conference, SMC 2010

Volumn , Issue , 2010, Pages 31-

  Cho, Taemin ^a   Weiss, Ron J ^a   Bello, Juan P ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER MUSIC; PATTERN MATCHING;

CHORD RECOGNITION; COMPLEX MODEL; FILTERING STRATEGIES; GAIN INSIGHT; SELF-TRANSITION; STATE OF THE ART; SYSTEMATIC EVALUATION;

FEATURE EXTRACTION;

EID: 84905192591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. T. Fujishima, "Real time chord recognition of musical sound: a system using common lisp music," in Proc. ICMC, pp. 464-467, 1999.
2. Sheh and D. Ellis, "Chord segmentation and recognition using em-trained hidden markov models," in Proc. ISMIR, pp. 185-191, 2003.
3. H. Papadopoulos and G. Peeters, "Large-scale study of chord estimation algorithms based on chroma representation and hmm," in Proc. CBMI, pp. 53-60, 2007.
4. C. Harte and M. Sandler, "Automatic chord identification using a quantised chromagram," in Proc. of the Audio Engineering Society (AES), 2005.
5. J. Bello and J. Pickens, "A robust mid-level representation for harmonic content in music signals," in Proc. ISMIR, pp. 304-311, 2005.
6. M. Ryynänen and A. Klapuri, "Automatic transcription of melody, bass line, and chords in polyphonic music," Computer Music Journal, vol. 32, no. 3, 2008.
7. L. Oudre, Y. Grenier, and C. Févotte, "Template-based chord recognition: influence of the chord types," in Proc. ISMIR, pp. 153-158, 2009.
8. K. Lee, "Automatic chord recognition using enhanced pitch class profile," in Proc. ICMC, 2006.
9. M. Khadkevich and M. Omologo, "Phase-change based tuning for automatic chord recognition," in Proc. of Digital Audio Effects Conference (DAFx), 2009.
10. M. Mauch, K. C. Noland, and S. Dixon, "Using musical structure to enhance automatic chord transcription," in Proc. ISMIR, pp. 231-236, 2009.
11. H. Papadopoulos and G. Peeters, "Simultaneous estimation of chord progression and downbeats from an audio file," in Proc. ICASSP, pp. 121-124, 2008.
12. M. Khadkevich and M. Omologo, "Use of hidden markov models and factored language models for automatic chord recognition," in Proc. ISMIR, 2009.
13. M. Stein, B. M. Schubert, M. Gruhne, G. Gatzsche, and M. Mehnert, "Evaluation and comparison of audio chroma feature extraction methods," in Proc. of the Audio Engineering Society (AES), 2009.
14. M. Müller, S. Ewert, and S. Kreuzer, "Making chroma features more robust to timbre changes," in Proc. ICASSP, vol. 0, pp. 1877-1880, 2009.
15. J. Brown, "Calculation of a constant Q spectral transform," Journal of the Acoustical Society of America, vol. 89, no. 1, pp. 425-434, 1991.
16. N. C. Maddage, "Automatic structure detection for popular music," IEEE Multimedia, vol. 13, pp. 65-77, 2006.
17. J. Reed, Y. Ueda, S. M. Siniscalchi, Y. Uchiyama, S. Sagayama, and C.-H. Lee, "Minimum classification error training to improve isolated chord recognition," in Proc. ISMIR, pp. 609-614, 2009.
18. K. Lee and M. Slaney, "Acoustic chord transcription and key extraction from audio using key-dependent hmms trained on synthesized audio," IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 2, pp. 291-301, 2008.
19. C. Harte, M. Sandler, S. Abdallah, and E. Gómez, "Symbolic representation of musical chords: a proposed syntax for text annotations.," in Proc. ISMIR, 2005.
20. Weller, D. Ellis, and T. Jebara, "Structured prediction models for chord transcription of music audio," in Proc. ICMLA, vol. 0, pp. 590-595, 2009.