Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques
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Xavier Serra | Perfecto Herrera | Xavier Amatriain | Eloi Batlle | X. Amatriain | P. Herrera | Xavier Serra | Eloi Batlle
[1] J. Grey. Multidimensional perceptual scaling of musical timbres. , 1977, The Journal of the Acoustical Society of America.
[2] Ichiro Fujinaga,et al. Machine recognition of timbre using steady-state tone of acoustic musical instruments , 1998, ICMC.
[3] Keld K. Jensen,et al. Timbre Models of Musical Sounds , 1999 .
[4] Ichiro Fujinaga,et al. Implementation of exemplar-based learning model for music cognition , 1998 .
[5] C.-C. Jay Kuo,et al. Heuristic approach for generic audio data segmentation and annotation , 1999, MULTIMEDIA '99.
[6] Barry Vercoe,et al. Music-listening systems , 2000 .
[7] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[8] Piero Cosi,et al. Auditory modelling and self‐organizing neural networks for timbre classification , 1994 .
[9] Greg Ridgeway,et al. Combining estimators to improve performance , 1999, KDD '99.
[10] Ichiro Fujinaga,et al. Toward Real-time Recognition of Acoustic Musical Instruments , 1999, ICMC.
[11] Bozena Kostek. Soft Computing in Acoustics: Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics , 1999 .
[12] David Wessel,et al. Timbre Space as a Musical Control Structure , 1979 .
[13] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[14] Janet Marques,et al. An automatic annotation system for audio data containing music , 1999 .
[15] Anssi Klapuri,et al. Musical instrument recognition using cepstral coefficients and temporal features , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[16] Roger K. Moore,et al. Hidden Markov model decomposition of speech and noise , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[17] B. Feiten,et al. Automatic indexing of a sound database using self-organizing neural nets , 1994 .
[18] Kristoffer Jensen,et al. Binary Decision Tree Classification of Musical Sounds , 1999, ICMC.
[19] Martin Cooke,et al. Modelling auditory processing and organisation , 1993, Distinguished dissertations in computer science.
[20] J C Brown. Computer identification of musical instruments using pattern recognition with cepstral coefficients as features. , 1999, The Journal of the Acoustical Society of America.
[21] Bozena Kostek,et al. Soft Computing-Based Recognition of Musical Sounds , 1998 .
[22] Music recognition using note transition context , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[23] Teuvo Kohonen,et al. Self-Organizing Maps , 2010 .
[24] Daniel P. W. Ellis,et al. Improved recognition by combining different features and different systems , 2000 .
[25] Daniel Patrick Whittlesey Ellis,et al. Prediction-driven computational auditory scene analysis , 1996 .
[26] Piero Cosi,et al. Timbre Characterization with Mel-Cepstrum and Neural Nets , 1994, ICMC.
[27] Alicja Wieczorkowska,et al. Rough Sets as A Tool for Audio Signal Classification , 1999, ISMIS.
[28] Andrzej Czyzewski,et al. Soft Processing of Audio Signals , 1998 .
[29] Shih-Fu Chang,et al. Overview of the MPEG-7 standard , 2001, IEEE Trans. Circuits Syst. Video Technol..
[30] Jonathan Foote,et al. A Similarity Measure for Automatic Audio Classification , 1997 .
[31] Z. Pawlak. Rough set elements , 1998 .
[32] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[33] Ichiro Fujinaga,et al. Realtime Recognition of Orchestral Instruments , 2000, International Conference on Mathematics and Computing.
[34] Ian Kaminskyj,et al. Automatic source identification of monophonic musical instrument sounds , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[35] Stephen McAdams,et al. Instrument Sound Description in the Context of MPEG-7 , 2000, ICMC.
[36] G. Soete,et al. Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes , 1995, Psychological research.
[37] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[38] J. N. Avaritsiotis,et al. Timbre recognition of single notes using an ARTMAP neural network , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).
[39] S. Lakatos. A common perceptual space for harmonic and percussive timbres , 2000, Perception & psychophysics.
[40] Risto Näätänen,et al. Timbre Similarity: Convergence of Neural, Behavioral, and Computational Approaches , 1998 .
[41] Shlomo Dubnov,et al. Polyspectra as measures of sound texture and timbre , 1997 .
[42] Keith Dana Martin,et al. Sound-source recognition: a theory and computational model , 1999 .
[43] Stephen Grossberg,et al. ARTMAP: supervised real-time learning and classification of nonstationary data by a self-organizing neural network , 1991, [1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering.
[44] Youngmoo E. Kim,et al. Musical instrument identification: A pattern‐recognition approach , 1998 .
[45] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[46] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .