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: An information processing system includes at least one memory storing a program and at least one processor. The at least one processor implements the program to input a piece of sound source data obtained by encoding a first identification data representative of a sound source, a piece of style data obtained by encoding a second identification data representative of a performance style, and synthesis data representative of sounding conditions into a synthesis model generated by machine learning, and to generate, using the synthesis model, feature data representative of acoustic features of a target sound of the sound source to be generated in the performance style and according to the sounding conditions, and to generate an audio signal corresponding to the target sound using the generated feature data.

Abstract: A sound generation method includes receiving a control value at each of a plurality of time points on a time axis, accepting a mandatory instruction, generating an acoustic feature value of a specific time point, by using a trained model to process the control value and an acoustic feature value sequence, and updating the acoustic feature value sequence. The acoustic feature value sequence is updated by using the generated acoustic feature value, as the mandatory instruction has not been received for the specific time point. As the mandatory instruction has been received for the specific time point, one or more alternative acoustic feature values of one or more time points, which includes at least the specific time point, in accordance with the control value for the specific time point is generated, and the acoustic feature value sequence is updated by using the one or more alternative acoustic feature values.

Abstract: A signal processing method, which is realized by a computer, includes receiving a control value representing a musical feature, receiving a selection signal for selecting either a first degree of enforcement or a second degree of enforcement that is lower than the first degree of enforcement, and generating, by using a trained model, in accordance with the selection signal, either an acoustic feature amount sequence that reflects the control value in accordance with the first degree of enforcement, or an acoustic feature amount sequence that reflects the control value in accordance with the second degree of enforcement.

Abstract: An information processing device includes a memory storing instructions, and a processor configured to implement the stored instructions to execute a plurality of tasks. The tasks includes: a first generating task that generates a series of fluctuations of a target sound based on first control data of the target sound to be synthesized, using a first model trained to have an ability to estimate a series of fluctuations of the target sound based on first control data of the target sound, and a second generating task that generates a series of features of the target sound based on second control data of the target sound and the generated series of fluctuations of the target sound, using a second model trained to estimate a series of features of the target sound based on second control data of the target sound and a series of fluctuations of the target sound.

Abstract: A distribution system includes an obtaining circuit, a determination circuit, a generation circuit, and a distribution circuit. The obtaining circuit obtains reaction information from a terminal device of a viewer of the content. The reaction information indicates a reaction of the viewer to the content. The determination circuit determines whether the reaction information is first reaction information or second reaction information. The first reaction information indicates a first reaction made by equal to or more than a predetermined number of viewers. The second reaction information is different from the first reaction information and indicates a second reaction made by less than the predetermined number of viewers. The generation circuit generates an audience sound in a case of the first reaction information. The distribution circuit transmits the audience sound to the plurality of terminal devices.

Abstract: An audio processing system and a method thereof generate a synthesis model that can input an audio signal to generate feature data that can be used by a signal generator to generate a modified audio signal. Specifically, a pre-trained synthesis model is first generated using training audio data. Thereafter, a re-trained synthesis model is established by additionally training the pre-trained synthesis model. Based on a received instruction to modify at least one of sounding conditions of an audio signal to be processed, feature data is generated by inputting additional condition data into the re-trained synthesis model. The signal generator generates the modified audio signal from the generated feature data.

Abstract: A sound processing method obtains note data representative of a note; obtains an audio signal to be processed; specifies, in accordance with the note, an expression sample representative of a sound expression to be imparted to the note and an expression period, of the audio signal, to which the sound expression is to be imparted to the note; and specifies, in accordance with the expression sample and the expression period, a processing parameter relating to an expression imparting processing for imparting the sound expression to a portion corresponding to the expression period in the audio signal. The method then generates a processed audio signal by performing the expression imparting processing in accordance with the expression sample, the expression period, and the processing parameter to the audio signal.

Abstract: A sound generation method that is realized by a computer includes receiving a representative value of a musical feature amount for each of a plurality of sections of a musical note, and using a trained model to process a first feature amount sequence in accordance with the representative value for each section, thereby generating a sound data sequence corresponding to a second feature amount sequence in which the musical feature amount changes continuously.

Abstract: A sound generation method that is realized by a computer includes receiving a first feature amount sequence in which a musical feature amount changes over time, and using a trained model that has learned an input-output relationship between an input feature amount sequence in which the musical feature amount changes over time at a first fineness and a reference sound data sequence corresponding to an output feature amount sequence in which the musical feature amount changes over time at a second fineness that is higher than the first fineness, to process the first feature amount sequence, thereby generating a sound data sequence corresponding to a second feature amount sequence in which the musical feature amount changes at the second fineness.

Abstract: A computer-implemented sound signal generation method includes: obtaining a first sound source spectrum of a sound signal to be generated; obtaining a first spectral envelope of the sound signal; and estimating fragment data representative of samples of the sound signal based on the obtained first sound source spectrum and the obtained first spectral envelope.

Abstract: A sound synthesizing method according to one aspect of the present disclosure relates to a sound synthesizing method that is realized by a computer, including receiving musical score data and acoustic data via a user interface; and generating, based on respective one of the musical score data and the acoustic data, acoustic features of a sound waveform having a desired timbre.

Abstract: First time-series data is edited according to a first user instruction, and second time-series data representing a series of features and generated based on the edited first time-series data is edited according to a second user instruction. In response to editing of the first time-series data, the edited first time-series data is saved as a new version in first history data. In response to editing of the second time-series data, the edited second time-series data is saved as a new version in second history data. A first version number and a second version number are designated according to a third user instruction. Third time-series data representing content corresponding to the first time-series data is then generated by using the first version of first time-series data in the first history data, and the second version of second time-series data in the second history data.

Abstract: A method obtains a first sound signal representative of a first sound, including a first spectrum envelope contour and a first reference spectrum envelope contour; obtains a second sound signal, representative of a second sound differing in sound characteristics from the first sound, including a second spectrum envelope contour and a second reference spectrum envelope contour; generates a synthesis spectrum envelope contour by transforming the first spectrum envelope contour based on a first difference between the first spectrum envelope contour and the first reference spectrum envelope contour at a first time point of the first sound signal, and a second difference between the second spectrum envelope contour and the second reference spectrum envelope contour at a second time point of the second sound signal; and generates a third sound signal representative of the first sound that has been transformed using the generated synthesis spectrum envelope contour.

Abstract: An audio processing method, for each time step of a plurality of time steps on a time axis: acquires encoded data that reflects current musical features of a tune for a current time step and musical features of the tune for succeeding time steps succeeding the current time step; acquires control data according to a real-time instruction provided by a user; and generates acoustic feature data representative of acoustic features of a synthesis sound in accordance with first input data including the acquired encoded data and the acquired control data.

Abstract: Voice synthesis method and apparatus generate second control data using an intermediate trained model with first input data including first control data designating phonetic identifiers, change the second control data in accordance with a first user instruction provided by a user, generate synthesis data representing frequency characteristics of a voice to be synthesized using a final trained model with final input data including the first control data and the changed second control data, and generate a voice signal based on the generated synthesis data.

Abstract: Voice synthesis method and apparatus generate second control data using an intermediate trained model with first input data including first control data designating phonetic identifiers, change the second control data in accordance with a first user instruction provided by a user, generate synthesis data representing frequency characteristics of a voice to be synthesized using a final trained model with final input data including the first control data and the changed second control data, and generate a voice signal based on the generated synthesis data.

Abstract: A voice synthesis method according to an embodiment includes altering a series of synthesis spectra in a partial period of a synthesis voice based on a series of amplitude spectrum envelope contours of a voice expression to obtain a series of altered spectra to which the voice expression has been imparted, and synthesizing a series of voice samples to which the voice expression has been imparted, based on the series of altered spectra.

Abstract: An information processing device includes a memory storing instructions, and a processor configured to implement the stored instructions to execute a plurality of tasks. The tasks includes: a first generating task that generates a series of fluctuations of a target sound based on first control data of the target sound to be synthesized, using a first model trained to have an ability to estimate a series of fluctuations of the target sound based on first control data of the target sound, and a second generating task that generates a series of features of the target sound based on second control data of the target sound and the generated series of fluctuations of the target sound, using a second model trained to estimate a series of features of the target sound based on second control data of the target sound and a series of fluctuations of the target sound.

Abstract: A voice processing method realized by a computer includes compressing forward a first steady period of a plurality of steady periods in a voice signal representing voice, and extending forward a transition period between the first steady period and a second steady period of the plurality of steady periods in the voice signal. Each of the plurality of steady periods is a period in which acoustic characteristics are temporally stable. The second steady period is a period immediately after the first steady period and has a pitch that is different from a pitch of the first steady period.