Melody Generation using an Interactive Evolutionary Algorithm

Music generation with the aid of computers has been recently grabbed the attention of many scientists in the area of artificial intelligence. Deep learning techniques have evolved sequence production methods for this purpose. Yet, a challenging problem is how to evaluate generated music by a machine. In this paper, a methodology has been developed based upon an interactive evolutionary optimization method, with which the scoring of the generated melodies is primarily performed by human expertise, during the training. This music quality scoring is modeled using a Bi-LSTM recurrent neural network. Moreover, the innovative generated melody through a Genetic algorithm will then be evaluated using this Bi-LSTM network. The results of this mechanism clearly show that the proposed method is able to create pleasurable melodies with desired styles and pieces. This method is also quite fast, compared to the state-of-the-art data-oriented evolutionary systems.Comment: 5 pages, 4 images, submitted to MEDPRAI2019 conferenc

Presence III : Une compilation d'oeuvres électroacoustiques = Presence III : A Compilation of Electroacoustic Works

This is the third in a series of releases by the CEC, featuring single works by composers and sound artists working in electroacoustics. 28 composers from seven countries are represented. Naylor claims that this compilation exhibits the depth and breadth of contemporary electroacoustic practice. Includes a brief description of each composition. Text in English and French. Biographical notes