Lyrics-to-audio alignment and phrase-level segmentation using incomplete internet-style chord annotations

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

Volumn , Issue , 2010, Pages 43-

  Mauch, Matthias ^a   Fujihara, Hiromasa ^a   Goto, Masataka ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT; HIDDEN MARKOV MODELS; INTERNET; TRANSCRIPTION;

ABSOLUTE DISPLACEMENT; ALIGNMENT METHODS; CHORD MODELS; CHROMA FEATURES; GROUND TRUTH; INFORMATION LOSS;

INFORMATION USE;

EID: 84873473666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. H. Fujihara, M. Goto, J. Ogata, K. Komatani, T. Ogata, and H. Okuno, Automatic synchronization between lyrics and music CD recordings based on Viterbi alignment of segregated vocal signals, in 8th IEEE International Symposium on Multimedia (ISM'06), pp. 257-264, 2006.
2. F. Bronson, The Billboard Book of Number One Hits. Billboard Books, 1997.
3. M. A. Bartsch and G. H. Wakefield, Audio thumbnail-ing of popular music using chroma-based representations, IEEE Transactions on Multimedia, vol. 7, no. 4, pp. 96-104, 2005.
4. Y. Wang, M.-Y. Kan, T. L. Nwe, A. Shenoy, and J. Yin, LyricAlly: Automatic synchronization of acoustic musical signals and textual lyrics, in Proceedings of the 12th Annual ACM International Conference on Multimedia, pp. 212-219, 2004.
5. M.-Y. Kan, Y. Wang, D. Iskandar, T. L. Nwe, and A. Shenoy, LyricAlly: Automatic synchronization of textual lyrics to acoustic music signals, IEEE Transactions on Audio, Speech, and Language Processing, vol. 16, no. 2, pp. 338-349, 2008.
6. H. Fujihara and M. Goto, Three techniques for improving automatic synchronization between music and lyrics: Fricative detection, filler model, and novel feature vectors for vocal activity detection, in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), 2008.
7. A. Mesaros and T. Virtanen, Automatic alignment of music audio and lyrics, in Proceedings of the 11th Int. Conference on Digital Audio Effects (DAFx-08), 2008.
8. C. H. Wong, W. M. Szeto, and K. H. Wong, Automatic lyrics alignment for cantonese popular music, Multimedia Systems, vol. 12, no. 4-5, pp. 307-323, 2007.
9. M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, RWC Music Database: Popular, classical, and jazz music databases, in Proceedings of the 3rd International Conference on Music Information Retrieval (IS-MIR 2002), pp. 287-288, 2002.
10. M. Mauch and S. Dixon, Simultaneous estimation of chords and musical context from audio, to appear in IEEE Transactions on Audio, Speech, and Language Processing, 2010.
11. M. Goto, A real-time music scene description system: Predominant-F0 estimation for detecting melody and bass lines in real-world audio signals, Speech Communication (ISCA Journal), vol. 43, no. 4, pp. 311-329, 2004.
12. T. Fujishima, Real time chord recognition of musical sound: a system using Common Lisp Music, in Proceedings of the International Computer Music Conference (ICMC 1999), pp. 464-467, 1999.
13. L. Oudre, Y. Grenier, and C. Févotte, Template-based chord recognition: Influence of the chord types, in Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), pp. 153-158, 2009.
14. A. Sheh and D. Ellis, Chord segmentation and recognition using EM-trained hidden Markov models, in Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR 2003), 2003.
15. R. Dannenberg and N. Hu, Polyphonic audio matching for score following and intelligent audio editors, in Proceedings of the International Computer Music Conference (ICMC 2003), pp. 27-34, 2003.
16. M. Mauch and S. Dixon, Approximate note transcription for the improved identification of difficult chords, in Proceedings of the 11th International Society for Music Information Retrieval Conference (IS-MIR 2010), 2010.
17. C. L. Lawson and R. J. Hanson, Solving Least Squares Problems, ch. 23. Prentice-Hall, 1974.
18. M. Mauch, Automatic Chord Transcription from Audio Using Computational Models of Musical Context. PhD thesis, Queen Mary University of London, 2010.
19. M. Mauch and S. Dixon, A discrete mixture model for chord labelling, in Proceedings of the 9th International Conference on Music Information Retrieval (IS-MIR 2008), pp. 45-50, 2008.