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Information × Registration Number 2119U006535, Article popup.category Препринт Title Music Generation Powered by Artificial Intelligence (AI translated) popup.author Shyshkin OlehShyshkin Oleh popup.publication 01-01-2019 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/1337 popup.publisher Description Music is an essential part of human life in our days. Despite a long history of the phenomena people still explore it and expand the new horizons. For the last ten years quality of computer-generated music significantly improved. State of the art machine learning models like PerformanceRNN can perform music close to a human level. However, it is hard to deal with a generation of long-term music for the systems. In work, we apply a TCN model to a generation music task and evaluate the quality of the music. We show that the models have a significantly better performance than a baseline model for a long-term music generation task. However, it has own weak points in musicality and time generation. We also discuss possible options to resolve the issues. popup.nrat_date 2025-11-05 Close