Back to results
US 12,725,591 B2Granted
Computer-implemented method, system, and non-transitory computer-readable storage medium for inferring evaluation of performance information
AssigneeYamaha Corporation
InventorAkira Maezawa
Life of this patent
Estimating the term…
Abstract
A computer-implemented method includes obtaining a trained model trained to store a relationship between first performance information and evaluation information. The first performance information includes a plurality of performance units. The evaluation information includes a plurality of pieces of evaluation information respectively associated with the plurality of performance units. The method also includes obtaining second performance information including an evaluation of each performance unit of the plurality of performance units. The method also includes processing the second performance information using the trained model to infer the evaluation of the each performance unit.
Claims11
A computer-implemented method comprising:
- obtaining, by at least one processor, a trained model trained to store a relationship between first performance information and evaluation information, the first performance information comprising a plurality of performance units relating to a piece of music, the evaluation information comprising a plurality of pieces of evaluation information respectively associated with the plurality of performance units;
- obtaining, by the at least one processor, second performance information comprising an evaluation of each performance unit of the plurality of performance units;
- and
- processing, by the at least one processor, the second performance information using the trained model to infer the evaluation of the each performance unit,
- wherein the each performance unit corresponds to each phrase of a plurality of phrases included in the piece of music,
- wherein the first performance information and the second performance information indicates a sound characteristic of each of a plurality of sounds included in the each performance unit,
- wherein the evaluation information comprises an evaluation label indicating the evaluation of the each phrase,
- wherein the method further comprises:
- selecting by the at least one processor, a predetermined number of phrases from the plurality of phrases in a defined order based on a level of the evaluation of the predetermined number of phrases;
- and
- presenting by the at least one processor, the predetermined number of phrases to a user as practice phrases.
8 more elements
A system comprising:
- a memory storing a program;
- and
- at least one processor configured to execute the program stored in the memory to:
- obtain a trained model trained to store a relationship between first performance information and evaluation information, the first performance information comprising a plurality of performance units relating to a first piece of music, the evaluation information comprising a plurality of pieces of evaluation information respectively associated with the plurality of performance units;
- obtain second performance information comprising an evaluation of each performance unit of the plurality of performance units;
- and
- process the second performance information using the trained model to infer the evaluation of the each performance unit,
- wherein the each performance unit corresponds to each phrase of a plurality of phrases included in the first piece of music,
- wherein the first performance information and the second performance information indicates a sound characteristic of each of a plurality of sounds included in the each performance unit,
- wherein the evaluation information comprises an evaluation label indicating the evaluation of the each phrase,
- wherein the at least one processor is further configured to execute the program stored in the memory to:
- select a predetermined number of phrases from the plurality of phrases in a defined order based on a level of the evaluation of the predetermined number of phrases;
- and
- present a second piece of music including phrases similar to the predetermined number of phrases.
11 more elements
A computer-implemented method comprising:
- obtaining, by at least one processor, a trained model trained to store a relationship between first performance information and evaluation information, the first performance information comprising a plurality of performance units relating to a first piece of music, the evaluation information comprising a plurality of pieces of evaluation information respectively associated with the plurality of performance units;
- obtaining, by the at least one processor, second performance information comprising an evaluation of each performance unit of the plurality of performance units;
- and
- processing, by the at least one processor, the second performance information using the trained model to infer the evaluation of the each performance unit,
- wherein the each performance unit corresponds to each phrase of a plurality of phrases included in the first piece of music,
- wherein the first performance information and the second performance information indicates a sound characteristic of each of a plurality of sounds included in the each performance unit,
- wherein the evaluation information comprises an evaluation label indicating the evaluation of the each phrase,
- wherein the method further comprises:
- selecting, by the at least one processor, a predetermined number of phrases from the plurality of phrases in a defined order based on a level of the evaluation of the predetermined number of phrases;
- and
- presenting, by the at least one processor, a second piece of music including phrases similar to the predetermined number of phrases.
8 more elements
A system comprising:
- a memory storing a program;
- and
- at least one processor configured to execute the program stored in the memory to:
- obtain a trained model trained to store a relationship between first performance information and evaluation information, the first performance information comprising a plurality of performance units relating to a piece of music, the evaluation information comprising a plurality of pieces of evaluation information respectively associated with the plurality of performance units;
- obtain second performance information comprising an evaluation of each performance unit of the plurality of performance units;
- and
- process the second performance information using the trained model to infer the evaluation of the each performance unit,
- wherein the each performance unit corresponds to each phrase of a plurality of phrases included in the piece of music,
- wherein the first performance information and the second performance information indicates a sound characteristic of each of a plurality of sounds included in the each performance unit,
- wherein the evaluation information comprises an evaluation label indicating the evaluation of the each phrase,
- wherein the at least one processor is further configured to execute the program stored in the memory to:
- select a predetermined number of phrases from the plurality of phrases in a defined order based on a level of the evaluation of the predetermined number of phrases;
- and
- present the predetermined number of phrases to a user as practice phrases.
11 more elements
Dependencies are inferred from the claim text.