Interactive Music Generation with Positional Constraints using Anticipation-RNNs

Recurrent Neural Networks (RNNS) are now widely used on sequence generation tasks due to their ability to learn long-range dependencies and to generate sequences of arbitrary length. However, their left-to-right generation procedure only allows a limited control from a potential user which makes them unsuitable for interactive and creative usages such as interactive music generation. This paper introduces a novel architecture called Anticipation-RNN which possesses the assets of the RNN-based generative models while allowing to enforce user-defined positional constraints. We demonstrate its efficiency on the task of generating melodies satisfying positional constraints in the style of the soprano parts of the J.S. Bach chorale harmonizations. Sampling using the Anticipation-RNN is of the same order of complexity than sampling from the traditional RNN model. This fast and interactive generation of musical sequences opens ways to devise real-time systems that could be used for creative purposes.Comment: 9 pages, 7 figure

Joseph Conrad’s Objects

Conrad begins his volume of reminiscences, A Personal Record, by recalling how he wrote the tenth chapter of his first novel, Almayer’s Folly, in the winter of 1893, on board a 2,000-ton steamer called the Adowa “alongside a quay in Rouen” (Conrad 1923c, 3). This was Conrad’s way of acknowledging the importance of Flaubert for his conception of the novel as a form – and a way of invoking the spirit of Flaubert at the start of his reminiscences as a patron saint. Thus, he describes the ship’s ..

Optimal profit sharing rules for petroleum exploration and development in Jordan

Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1988.Includes bibliographical references.by Philip Robert Osler Hampson.M.S