Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Demos Track. Pages 4138-4138.
Abstract
We propose an automatic music generation demo based on artificial neural networks, which integrates the ability of Long Short-Term Memory (LSTM) in memorizing and retrieving useful history information, together with the advantage of Restricted Boltzmann Machine (RBM) in high dimensional data modelling. Our model can generalize to different musical styles and generate polyphonic music better than previous models.
Qi Lyu, Zhiyong Wu, Jun Zhu, and Helen Meng. 2015. Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4138–4138. https://ijcai.org/proceedings/2015/582
Lyu, Q., Wu, Z., Zhu, J., & Meng, H. (2015). Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 (pp. 4138–4138). IJCAI. https://ijcai.org/proceedings/2015/582
@inproceedings{ijcai2015p582,
title = {Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation},
author = {Lyu, Qi and Wu, Zhiyong and Zhu, Jun and Meng, Helen},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4138--4138},
year = {2015},
month = {7},
note = {Demos Track},
url = {https://ijcai.org/proceedings/2015/582},
}
TY - CPAPER TI - Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation AU - Lyu, Qi AU - Wu, Zhiyong AU - Zhu, Jun AU - Meng, Helen T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4138 EP - 4138 UR - https://ijcai.org/proceedings/2015/582 ER -Copied
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