Finding temporal structure in music: blues improvisation with LSTM recurrent networks
- 25 June 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent netsNeural Networks, 2003
- Finding downbeats with a relaxation oscillator.Psychological Research, 2002
- LSTM recurrent networks learn simple context-free and context-sensitive languagesIEEE Transactions on Neural Networks, 2001
- A Network of Relaxation Oscillators that Finds Downbeats in RhythmsPublished by Springer Nature ,2001
- Learning to Forget: Continual Prediction with LSTMNeural Computation, 2000
- Recurrent nets that time and countPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Speeding Up Backpropagation Algorithms by Using Cross-Entropy Combined with Pattern NormalizationInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
- A Connectionist Approach to Algorithmic CompositionComputer Music Journal, 1989
- The Representation of Pitch in a Neural Net Model of Chord ClassificationComputer Music Journal, 1989
- Geometrical approximations to the structure of musical pitch.Psychological Review, 1982