Finding temporal structure in music: blues improvisation with LSTM recurrent networks
暂无分享,去创建一个
[1] Grosvenor W. Cooper,et al. The Rhythmic Structure of Music , 1971 .
[2] R. Shepard. Geometrical approximations to the structure of musical pitch. , 1982, Psychological review.
[3] Geoffrey E. Hinton,et al. Experiments on Learning by Back Propagation. , 1986 .
[4] Peter M. Todd,et al. Modeling the Perception of Tonal Structure with Neural Nets , 1989 .
[5] Douglas H. Keefe,et al. The Representation of Pitch in a Neural Net Model of Chord Classification , 1989 .
[6] Peter M. Todd,et al. A Connectionist Approach To Algorithmic Composition , 1989 .
[7] Sepp Hochreiter,et al. Untersuchungen zu dynamischen neuronalen Netzen , 1991 .
[8] Michael C. Mozer,et al. Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing , 1994, Connect. Sci..
[9] Ronald J. Williams,et al. Gradient-based learning algorithms for recurrent networks and their computational complexity , 1995 .
[10] Wolfram Schiffmann,et al. Speeding Up Backpropagation Algorithms by Using Cross-Entropy Combined with Pattern Normalization , 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[11] Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
[12] Jürgen Schmidhuber,et al. Recurrent nets that time and count , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[13] Douglas Eck. A Network of Relaxation Oscillators that Finds Downbeats in Rhythms , 2001, ICANN.
[14] Yoshua Bengio,et al. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .
[15] Jürgen Schmidhuber,et al. LSTM recurrent networks learn simple context-free and context-sensitive languages , 2001, IEEE Trans. Neural Networks.
[16] Douglas Eck. Finding downbeats with a relaxation oscillator , 2002, Psychological research.
[17] Jürgen Schmidhuber,et al. Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets , 2003, Neural Networks.