A practical approach to eighteenth-century counterpoint

By R. Gauldin. 1985

Subfields: Pure Mathematics

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In Pure Mathematics

1. José Miguel Hernández-Lobato
2. Richard E. Turner
3. Shixiang Shane Gu
4. Douglas Eck
5. Natasha Jaques
6. Dzmitry Bahdanau

Citations in the corpus

• Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control (2016, methodology): “To test this hypothesis, we developed several rules that we believe describe pleasant-sounding melodies, taking inspiration from a text on melodic composition (Gauldin, 1995).”
• Tuning Recurrent Neural Networks with Reinforcement Learning (2016, methodology): “Following the principles set out on page 42 of Gauldin’s book (Gauldin, 1995), we define the reward function rMT (a, s) to encourage melodies to have the following characteristics.”
• Deep Learning Techniques for Music Generation - A Survey (2017, background): “72 This list of musical theory constraints has been selected from [53], see more details in [86].”