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Volumn 14, Issue 1-2, 2005, Pages 329-342

Recurrent neural networks for musical pitch memory and classification

Author keywords

LSTM; Music processing; Recurrent networks

Indexed keywords


EID: 33746253311     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213005002120     Document Type: Conference Paper
Times cited : (5)

References (22)
  • 1
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • eds. Rumelhart, D. et al., MIT Press, Cambridge, MA
    • D. Rumelhart, G. Hinton, and R. Williams, Learning Internal Representations by Error Propagation, Parallel Distributed Processing 1, eds. Rumelhart, D. et al., pp. 318-362, (MIT Press, Cambridge, MA, 1986).
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 2
    • 0002338623 scopus 로고
    • The representation of pitch in a neural net model of chord classification
    • eds. Todd, P. M. and Loy, E. D., MIT Press, Cambridge, MA
    • B. Laden and D. H. Keefe, The Representation of Pitch in a Neural Net Model of Chord Classification. Music and Connectionism, eds. Todd, P. M. and Loy, E. D., (MIT Press, Cambridge, MA, 1991).
    • (1991) Music and Connectionism
    • Laden, B.1    Keefe, D.H.2
  • 5
    • 0002244143 scopus 로고
    • A connectionist approach to algorithmic composition
    • eds. Todd, P.M. and Loy, E. D., MIT Press, Cambridge, MA
    • P. M. Todd, A Connectionist Approach to Algorithmic Composition, Music and Connectionism, eds. Todd, P.M. and Loy, E. D., (MIT Press, Cambridge, MA, 1991).
    • (1991) Music and Connectionism
    • Todd, P.M.1
  • 7
    • 0001765578 scopus 로고
    • Gradient-based learning algorithms for recurrent networks and their computational complexity
    • Y. Chauvin and D. E. Rumelhart (Eds.), Erlbaum, Hillsdale, NJ
    • R. J. Williams and D. Zipser, Gradient-based learning algorithms for recurrent networks and their computational complexity. In: Y. Chauvin and D. E. Rumelhart (Eds.) Back-propagation: Theory, Architectures and Applications, (Erlbaum, Hillsdale, NJ 1995).
    • (1995) Back-propagation: Theory, Architectures and Applications
    • Williams, R.J.1    Zipser, D.2
  • 8
    • 21844527162 scopus 로고
    • Neural network music composition by prediction: Exploring the benefits of psychophysical constraints and multiscale processing
    • 1994, Taylor and Francis Ltd, Abingdon, UK
    • M. C. Mozer, 1994, Neural Network Music Composition by Prediction: Exploring the Benefits of Psychophysical Constraints and Multiscale Processing. Connection Science, 6, 247-280, (Taylor and Francis Ltd, Abingdon, UK, 1994).
    • (1994) Connection Science , vol.6 , pp. 247-280
    • Mozer, M.C.1
  • 9
    • 0004162267 scopus 로고
    • A learning algorithm for continually running fully recurrent networks
    • Univ of Calif., San Diego, La Jolla
    • R. J. Williams, and D. Zipser, A learning algorithm for continually running fully recurrent networks. Tech Report ICS-8805, (Univ of Calif., San Diego, La Jolla, 1988).
    • (1988) Tech Report ICS-8805
    • Williams, R.J.1    Zipser, D.2
  • 10
    • 0000903748 scopus 로고
    • Generalisation of backpropagation with application to a recurrent gas market model
    • Elsevier Ltd., UK
    • P. J. Werbos, Generalisation of Backpropagation with Application to a Recurrent Gas Market Model, Neural Networks, 1: 339-356., (Elsevier Ltd., UK, 1988).
    • (1988) Neural Networks , vol.1 , pp. 339-356
    • Werbos, P.J.1
  • 11
    • 0003545065 scopus 로고    scopus 로고
    • A circuit theory approach to recurrent neural network architectures and learning methods
    • Universita Degli Studi di Bologna
    • P. Campolucci, A Circuit Theory Approach to Recurrent Neural Network Architectures and Learning Methods, Dottorato di Ricerca in Ingegneria Elettrotecnica, (Universita Degli Studi di Bologna, 1998).
    • (1998) Dottorato di Ricerca in Ingegneria Elettrotecnica
    • Campolucci, P.1
  • 13
    • 0031573117 scopus 로고    scopus 로고
    • Long short-term memory
    • MIT Press, Cambridge, MA
    • S. Hochreiter, and J. Schmidhuber, Long Short-Term Memory, Neural Computation, 9(8):1735-1780, (MIT Press, Cambridge, MA, 1997).
    • (1997) Neural Computation , vol.9 , Issue.8 , pp. 1735-1780
    • Hochreiter, S.1    Schmidhuber, J.2
  • 14
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: Continual prediction with LSTM
    • MIT Press, Cambridge, MA
    • F. A. Gers, J. Schmidhuber, and F. Cummins, Learning to Forget: Continual Prediction with LSTM. Neural Computation 12(10): 2451-2471. (MIT Press, Cambridge, MA, 2000).
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.A.1    Schmidhuber, J.2    Cummins, F.3
  • 15
    • 0001609567 scopus 로고
    • An efficient gradient-based algorithm for on-line training of recurrent network trajectories
    • MIT Press, Cambridge, MA
    • R. J. Williams, and J. Peng, An Efficient Gradient-based Algorithm for On-line Training of Recurrent Network Trajectories, Neural Computation, 2(4): 490-501, (MIT Press, Cambridge, MA, 1990).
    • (1990) Neural Computation , vol.2 , Issue.4 , pp. 490-501
    • Williams, R.J.1    Peng, J.2
  • 17
    • 10044280156 scopus 로고    scopus 로고
    • Learning and improvisation
    • eds. Dietterich, T. G., Becker, S., & Ghahramani, Z. MIT Press, Cambridge, MA
    • J. A. Franklin, Learning and Improvisation, Neural Information Processing Systems 14, eds. Dietterich, T. G., Becker, S., & Ghahramani, Z. (MIT Press, Cambridge, MA, 2001).
    • (2001) Neural Information Processing Systems , vol.14
    • Franklin, J.A.1
  • 19
    • 26444565569 scopus 로고
    • Finding structure in time
    • Taylor and Francis Ltd, Abingdon, UK
    • J. L. Elman, Finding Structure in Time, Connection Science 14: 179-211, (Taylor and Francis Ltd, Abingdon, UK, 1990).
    • (1990) Connection Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 20
    • 33746261949 scopus 로고    scopus 로고
    • Predicting reinforcement of pitch sequences via LSTM and TD
    • ICMA, San Francisco, CA
    • J. A. Franklin, Predicting Reinforcement of Pitch Sequences via LSTM and TD, Proc. 2004 International Computer Music Conference. (ICMA, San Francisco, CA, 2004).
    • (2004) Proc. 2004 International Computer Music Conference
    • Franklin, J.A.1
  • 21
    • 84899015857 scopus 로고    scopus 로고
    • Reinforcement learning with long short-term memory
    • eds. Dietterich, T.G., Becker, S. and Ghahramani, Z., MIT Press, Cambridge, MA
    • B. Bakker, Reinforcement Learning with Long Short-Term Memory, Advances in Neural Information Processing Systems, 14, eds. Dietterich, T.G., Becker, S. and Ghahramani, Z., (MIT Press, Cambridge, MA, 2002).
    • (2002) Advances in Neural Information Processing Systems , vol.14
    • Bakker, B.1
  • 22
    • 32844472980 scopus 로고    scopus 로고
    • Computational models for learning pitch and duration using LSTM recurrent neural networks
    • Society for Music Perception and Cognition, Evanston, IL
    • J. A. Franklin, Computational Models for Learning Pitch and Duration Using LSTM Recurrent Neural Networks, in Proceedings of the Eighth International Conference on Music Perception and Cognition. (Society for Music Perception and Cognition, Evanston, IL, 2004).
    • (2004) Proceedings of the Eighth International Conference on Music Perception and Cognition
    • Franklin, J.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.