Note onset detection in musical signals via neural–network–based multi–ODF fusion

Alonso, M., Richard, G. and David, B. (2005). Extracting note onsets from musical recordings, Proceedings of the IEEE International Conference on Multimedia and Expo 2005, Amsterdam, The Netherlands, pp. 1–4.Search in Google Scholar

Bartkowiak, M. and Januszkiewicz, Ł. (2012). Hybrid sinusoidal modeling of music with near transparent audio quality, Proceedings of the Joint AES/IEEE Conference NTAV-SPA, Łódź, Poland, pp. 91–96.Search in Google Scholar

Bello, J., Daudet, L., Abdullah, S., Duxbury, C., Davies, M. and Sandler, M. (2005). A tutorial on onset detection in music signals, IEEE Transactions on Speech and Audio Processing13(5): 1035–1047.10.1109/TSA.2005.851998Search in Google Scholar

Bello, P. and Sandler, M. (2003). Phase-based note onset detection for music signals, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing ICASSP, Hong Kong, Vol. 5, pp. 441–444.Search in Google Scholar

Bishop, C.M. (1995). Neural Networks for Pattern Recognition, Oxford University Press, New York, NY.Search in Google Scholar

Böck, S., Arzt, A., Krebs, F. and Schedl, M. (2012). Online real-time onset detection with recurrent neural networks, Proceedings of the 15th International Conference on Digital Audio Effects (DAFx 2012), York, UK, pp. 1–4.Search in Google Scholar

Collins, N. (2005). A comparison of sound onset detection algorithms with emphasis on psychoacoustically motivated detection functions, Proceedings of the AES 118th International Convention, Barcelona, Spain, pp. 28–31.Search in Google Scholar

Daudet, L., Richard, G. and Leveau, P. (2004). Methodology and tools for the evaluation of automatic onset detection algorithms in music, 5th International Conference on Music Information Retrieval, ISMIR 2004, Barcelona, Spain, pp. 72–75.Search in Google Scholar

Davy, M. and Godsill, S.J. (2002). Detection of abrupt spectral changes using support vector machines: An application to audio signal segmentation, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, Orlando, FL, USA, pp. 1313–1316.Search in Google Scholar

Dixon, S. (2006). Onset detection revisited, Proceedings of the International Conference on Digital Audio Effects (DAFx-06), Montreal, Quebec, Canada, pp. 133–137.Search in Google Scholar

Duxbury, C., Bello, J., Davies, M. and Sandler, M. (2003). Complex domain onset detection for musical signals, Proceedings of the 6th International Conference on Digital Audio Effects (DAFx-03), London, UK, pp. 1–4.Search in Google Scholar

Eyben, F., Böck, S., Schuller, B. and Graves, A. (2010). Universal onset detection with bidirectional long shortterm memory, Neural Networks, 11 th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, The Netherlands, pp. 589–594.Search in Google Scholar

Huang, S., Wang, L., Hu, S., Jiang, H. and Xu, B. (2008). Query by humming via multiscale transportation distance in random query occurrence context, IEEE International Conference on Multimedia and Expo, ICME 2008, Hannover, Germany, pp. 1225–1228.Search in Google Scholar

Lacoste, A. and Eck, D. (2007). A supervised classification algorithm for note onset detection, EURASIP Journal of Advanced Signal Processing2007: 153–153.10.1155/2007/43745Search in Google Scholar

Laroche, J. (2003). Efficient tempo and beat tracking in audio recordings, Journal of the Audio Engineering Society51(4): 226–233.Search in Google Scholar

Lee, W.-C. and Kuo, C.-C. (2006). Musical onset detection based on adaptive linear prediction, IEEE International Conference on Multimedia and Expo, ICME 2006, Toronto, Ontario, Canada, pp. 957–960.Search in Google Scholar

Lerch, A. (2012). An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics, Wiley/IEEE Press, Hoboken, NJ.10.1002/9781118393550Search in Google Scholar

MIREX (2013). Audio onset detection results in Music Information Retrieval Evaluation eXchange MIREX, 2013, http://nema.lis.illinois.edu/nema_out/mirex2013/results/aod/summary.html.Search in Google Scholar

Peeters, G. (2005). Time variable tempo detection and beat marking, Proceedings of the International Computer Music Conference, ICMC 2005, Barcelona, Spain, pp. 1–4.Search in Google Scholar

Quintela, N.D., Giménez, A.P. and Guijarro, S.T. (2009). A comparison of score-level fusion rules for onset detection in music signals, Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR09, Kobe, Japan, pp. 117–121.Search in Google Scholar

Rabenstein, R. and Petrausch, S. (2008). Block-based physical modeling with applications in musical acoustics, International Journal of Applied Mathematics and Computer Science18(3): 295–305, DOI: 10.2478/v10006-008-0027-6.10.2478/v10006-008-0027-6Search in Google Scholar

Repp, B.H. (1996). Patterns of note onset asynchronies in expressive piano performance, Journal of the Acoustical Society of America100(6): 3917–3932.10.1121/1.4172458969489Search in Google Scholar

Schlüter, J. and Böck, S. (2014). Improved musical onset detection with convolutional neural networks, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), Florence, Italy, pp. 6979–6983.Search in Google Scholar

Stasiak, B. (2015). Results repository, http://ics.p.lodz.pl/~basta/NN_MULTI_ODF_FUSION/Stasiak_OnsetDB.zip.Search in Google Scholar

Tian, M., Fazekas, G., Black, D.A.A. and Sandler, M. (2014). Design and evaluation of onset detectors using different fusion policies, 15th International Society of Music Information Retrieval (ISMIR) Conference, ISMIR 2014, Taipei, Taiwan, pp. 631–636.Search in Google Scholar

Typke, R., Wiering, F. and Veltkamp, R.C. (2007). Transportation distances and human perception of melodic similarity, Musicae Scientiae11(1): 153–181.10.1177/102986490701100107Search in Google Scholar

Yin, J., Wang, Y. and Hsu, D. (2005). Digital violin tutor: An integrated system for beginning violin learners, in H. Zhang et al. (Eds.), ACM Multimedia, ACM, New York, NY, pp. 976–985.10.1145/1101149.1101353Search in Google Scholar

Zhang, B. and Wang, Y. (2009). Automatic music transcription using audio-visual fusion for violin practice in home environment, Technical Report TRA7/09, National University of Singapore, Singapore.Search in Google Scholar