Abstract: An image control system includes an estimation circuit, an obtaining circuit, and an image control circuit, which circuits can be at least one processor. The estimation circuit receives an output from a trained model in response to an input of an acoustic signal indicating a performance of a musical piece. The estimation circuit estimates musical performance information based on the output. The musical performance information is associated with the performance indicated by the acoustic signal relative to the musical piece. The obtaining circuit obtains manipulation information that is associated with a playback of an image. The image control circuit controls the playback of the image based on the musical performance information. The image control circuit controls the playback of the image based on the manipulation information upon obtaining the manipulation information.

Abstract: A signal processing method includes: receiving, by a first reception unit, an acoustic signal transmitted via a first transmission path, the acoustic signal received by the first reception unit being a first acoustic signal; receiving, by a second reception unit, the acoustic signal transmitted via a second transmission path different from the first transmission path, the second transmission path having a longer delay time for transmission than the first transmission path, and the acoustic signal received by the second reception unit being a second acoustic signal; calculating, by a delay amount calculation unit, a transmission delay amount that is a relative delay amount between the first acoustic signal and the second acoustic signal; and delaying, by a delay amount addition unit, the first acoustic signal based on the calculated transmission delay amount and outputting the delayed first acoustic signal.

Abstract: An information processing method includes generating performance data that represent a performance of a musical piece that reflects a change caused by a factor that alters the performance of the musical piece, by inputting musical score data, which represent a musical score of the musical piece, and variability data, which represent the factor, into a trained model.

Abstract: A distribution system includes a device control circuit that receives a first sound signal and a second sound signal that are related to a performance sound to be distributed. The device control circuit also receives meta-data indicating a type of the first sound signal and a type of the second sound signal. The device control circuit also receives sound environment data indicating a sound characteristic of a sound appliance. Based on a combination of the type of the first sound signal and the sound characteristic or a combination of the type of the second sound signal and the sound characteristic, the device control circuit controls the first sound signal or the second sound signal to be output to the sound appliance.

Abstract: A performance analysis method is implemented by a computer system. The performance analysis method includes: obtaining performance data representing performance by a performer on a musical instrument; obtaining a performance image of performer's fingers playing the musical instrument; generating finger position data representing a position of each of the performer's fingers from the performance image; generating fingering data representing fingering in a performance by the performer based on the performance data and the finger position data; and displaying a performance image based on the generated fingering data.

Abstract: An information processing method is implemented by a computer system. The information processing method includes: generating operation data representing one or more fingers, of a plurality of fingers of a left hand and a right hand of a user, that operate a musical instrument, by analyzing a performance image indicating the plurality of fingers of the user who plays the musical instrument; and executing first processing in a case where the operation data represents the musical instrument being operated with a finger of the left hand, and executing second processing different from the first processing in a case where the operation data represents the musical instrument being operated with a finger of the right hand.

Abstract: An apparatus is provided that accurately estimates a point at which a musical performance is started by a player. The apparatus includes the musical performance analysis unit 32, and the musical performance analysis unit 32 obtains action data that includes a time series of feature data representing actions made by a player during a musical performance for a reference period and estimating a sound-production point based on the action data at an estimated point using a learned model L.

Abstract: A signal processing system causes a reproduction device to reproduce a time series signal that follows reproduction of a musical piece. The signal processing system includes an electronic controller including at least one processor. The electronic controller is configured to execute a plurality of units including an acquisition unit configured to acquire an indicated position indicated by a user in the reproduction of the musical piece, and a control unit configured to execute time stretching of the time series signal in accordance with the indicated position.

Abstract: An information processing system (a) acquires user playing data indicative of playing of a piece of music by a user, (b) generates habit data indicative of a playing habit of the user in playing the piece of music on a musical instrument, by inputting the acquired user playing data into at least one first trained model that learns a relationship between (i) player playing training data indicative of playing of a piece of reference music by a player, and (ii) corresponding training habit data indicative of a playing habit of the player in playing the piece of reference music on a musical instrument, the playing habit being indicated by the player playing training data; and (c) identifies a practice phrase based on the generated habit data.

Abstract: A music analysis method realized by a computer includes calculating an evaluation index of each of a plurality of structure candidates formed of N analysis points selected in different combinations from K analysis points in an audio signal of a musical piece, and selecting one of the plurality of structure candidates as a boundary of a structure section of the musical piece in accordance with the evaluation index of each of the plurality of structure candidates. N is a natural number greater than or equal to 2 and less than K, and K is a natural number greater than or equal to 2.

Abstract: An information processing method includes generating a change parameter relating to a process in which a temporal relationship between a first motion and a second motion changes, by inputting, into a trained model, first time-series data that represent a content of the first motion, and second time-series data that represent a content of the second motion in parallel to the first motion.

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: An audio processing system includes at least one memory storing a program and at least one processor. The processor implements the program to analyze an audio signal including sound from a first sound source; identify, based on the analysis of the audio signal, a series of sound indicators each representing a certainty that audio components of the first sound source are included in the audio signal; identify a series of pitches, each relating to the components of the first sound source; and cause a display device to display the series of the sound indicators and the identified series of the pitches along a common time axis.

Abstract: A performance analysis method according to the present invention includes generating information related to a performance tendency of a user, from observed performance information relating to a performance of a musical piece by the user and inferred performance information that occurs when the musical piece is performed based on a specific tendency.

Abstract: A signal processing method includes: receiving, by a first reception unit, an acoustic signal transmitted via a first transmission path, the acoustic signal received by the first reception unit being a first acoustic signal; receiving, by a second reception unit, the acoustic signal transmitted via a second transmission path different from the first transmission path, the second transmission path having a longer delay time for transmission than the first transmission path, and the acoustic signal received by the second reception unit being a second acoustic signal; calculating, by a delay amount calculation unit, a transmission delay amount that is a relative delay amount between the first acoustic signal and the second acoustic signal; and delaying, by a delay amount addition unit, the first acoustic signal based on the calculated transmission delay amount and outputting the delayed first acoustic signal.

Abstract: An information processing method according to the present invention includes providing first musical piece information representing contents of a musical piece and performance information relating to a past performance prior to one unit period within the musical piece to a learner that has undergone learning relating to a specific tendency that relates to a performance, and generating, for the one unit period, performance information that is based on the specific tendency with the learner.

Abstract: A trained model establishment method realized by a computer includes acquiring a plurality of datasets each of which is formed by a combination of first performance data of a first performance by a performer, second performance data of a second performance performed together with the first performance, and a satisfaction label indicating a degree of satisfaction of the performer, and executing machine learning of a satisfaction estimation model by using the plurality of datasets. In the machine learning, the satisfaction estimation model is trained such that, for each of the datasets, a result of estimating a degree of satisfaction the performer from the first performance data and the second performance data matches the degree of the satisfaction indicated by the satisfaction label.

Abstract: A performance agent training method realized by at least one computer includes observing a first performance of a musical piece by a performer, generating, by a performance agent, performance data of a second performance to be performed in parallel with the first performance, outputting the performance data such that the second performance is performed in parallel with the first performance of the performer, acquiring a degree of satisfaction of the performer with respect to the second performance performed based on the output performance data, and training the performance agent by reinforcement learning, using the degree of satisfaction as a reward.

Abstract: A performance analysis method realized by a computer includes sequentially estimating performance positions within a musical piece by an analysis process applied to an audio signal representing a performance sound of the musical piece, and setting a performance position at a first time point on a time axis within the musical piece to a performance position corresponding to a time series of the performance positions estimated by the analysis process in a selection period prior to and spaced away from the first time point within the musical piece.

Abstract: An information processing device 11 including: a control data generation unit that inputs analysis data X that is to be processed, to a trained model that has learnt a relationship between analysis data X that represents a time series of musical notes, and control data Y for controlling movements of an object that represents a performer, thereby generating control data Y according to the analysis data X.