A music composition system with time-series data for sound design in next-generation sonification environment

This research suggests an idea of synthesizing time series data and human sense. This software can help human to know environmental invisible changes that human cannot detect. Player can use time series data for music composition. We have already had a way of sonification as relating research. However, this research aims having more flexibility in composition. For the motivation, we set player flexibility as tonality editing and data conversion range control system. In our software, player can edit melody and its range of sampling. For example, if composer want to express data as bright atmosphere music, you can edit some settings in the tool and play it. We have tried to use this software to use foreign exchange data. In future work, we try to use this software in virtual reality. And we will test the listener recognition change.