Mapping to musical actions in the FILTER system
نویسندگان
چکیده
In this paper we discuss aspects of our work in developing performance systems that are geared towards humanmachine co-performance with a particular emphasis on improvisation. We present one particular system, FILTER, which was created in the context of a larger project related to artificial intelligence and performance, and has been tested in the context of our electro-acoustic performance trio. We discuss how this timbrally rich and highly nonidiomatic musical context has challenged the design of the system, with particular emphasis on the mapping of machine listening parameters to higher-level behaviors of the system in such a way that spontaneity and creativity are encouraged while maintaining a sense of novel dialogue.
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