Parameter inference method, parameter inference system, and parameter inference program
AssigneeYamaha Corporation
InventorsAkira Maezawa, Katsuhiro Iguchi
Life of this patent
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Abstract
A parameter inference method realized by a computer, includes obtaining target performance information indicating a performance of music using an electronic musical instrument; inferring assist information from the target performance information with use of a trained inference model generated through machine learning, the assist information being related to setting of a parameter of the electronic musical instrument that conforms to a tendency of the performance; and outputting the inferred assist information related to the setting of the parameter.
Claims19
A parameter inference method realized by a computer, the parameter inference method comprising:
- obtaining target performance information indicating a performance of music using an electronic musical instrument;
- inferring assist information from the target performance information with use of a trained inference model generated through machine learning, the assist information being related to setting of a parameter of the electronic musical instrument that conforms to a tendency of the performance;
- and
- outputting the inferred assist information related to the setting of the parameter,
- wherein the inferred assist information includes a value of a first parameter representing a tendency of the performance, and
- wherein the method further comprises setting a second parameter of the electronic musical instrument based on the value of the first parameter.
A parameter inference system, comprising:
- a processor;
- and
- a memory configured to hold a program executed by the processor,
- wherein
- the processor is configured to execute the program to:
- obtain target performance information indicating a performance of music using an electronic musical instrument,
- infer assist information from the target performance information with use of a trained inference model generated through machine learning, the assist information being related to setting of a parameter of the electronic musical instrument that conforms to a tendency of the performance, and
- output the inferred assist information related to the setting of the parameter,
- wherein the inferred assist information includes a value of a first parameter representing a tendency of the performance, and
- wherein the processor is further configured to execute the program to set a second parameter of the electronic musical instrument based on the value of the first parameter.
A non-transitory computer readable medium having stored thereon a parameter inference program that, when executed by a computer, cause the computer to execute processing comprising:
- obtaining target performance information indicating a performance of music using an electronic musical instrument;
- inferring assist information from the target performance information with use of a trained inference model generated through machine learning, the assist information being related to setting of a parameter of the electronic musical instrument that conforms to a tendency of the performance;
- and
- outputting the inferred assist information related to the setting of the parameter,
- wherein the inferred assist information includes a value of a first parameter representing a tendency of the performance, and
- wherein the computer further executes processing comprising setting a second parameter of the electronic musical instrument based on the value of the first parameter.
Dependencies are inferred from the claim text.