Abstract:
A signal processing device includes an electronic controller including at least one processor. The electronic controller is configured to execute a reception unit, a generation unit, and a processing unit. The reception unit is configured to receive first time-series data that include sound data, and second time-series data that are generated based on the first time-series data and that include at least data indicating a timing of a human action. The generation unit is configured to generate, based on the second time-series data, third time-series data notifying of the timing of the human action. The processing unit is configured to synchronize and output an output signal based on the first time-series data and an output signal based on the third time-series data, such that the timing of the human action for the first time-series data and the timing of the human action for the third time-series data match.
Abstract:
Once obtained a turn-over instruction to proceed a score on one image area to which one grand staff among plural grand staves displayed on a screen of a user I/F belongs, a controller of a score displaying apparatus performs a process of scrolling the image areas upward on the screen of the user I/F, disposing the image area on which the turn-over instruction is accepted at a highest level of the screen of the user I/F, sequentially aligning a plurality of consecutive image areas in a forward direction on a timeline of the score with respect to the image area on which the turn-over instruction is accepted below the image area on which the turn-over instruction is accepted, and displaying the image areas on the screen of the user I/F.
Abstract:
When a music audio to be analyzed is to be divided into a plurality of possible pattern segments based on estimated beat positions, it is divided in a plurality of different ways according to individual division models obtained by sequentially shifting the leading or first beat position of the possible pattern segments. Such division can provide plural sets of possible pattern segments with each of the sets corresponding to one of the division models. For each of the sets, comparison is made between individual possible pattern segments and individual reference performance patterns. For each of the possible pattern segments of the set, at least one reference performance pattern that matches the possible pattern segment is determined. Then, at least one combination of reference performance patterns is identified for each of the sets of possible pattern segments. One optimal combination is selected from among the identified combinations.