An information processing apparatus according to the present disclosure includes: a storage unit that stores a plurality of pieces of music feature information in which a plurality of types of feature amounts extracted from music information is associated with predetermined identification information, the music feature information being used as learning data in composition processing using machine learning; a reception unit that receives instruction information transmitted from a terminal apparatus; an extraction unit that extracts the music feature information from the storage unit according to the instruction information; and an output unit that outputs presentation information of the music feature information extracted by the extraction unit.

A system of generating a model for estimation is a system that generates the model for estimation used for estimation based on information about musical pieces, the system including: a learning data acquiring unit configured to acquire learning information in which information about audio data of a plurality of musical pieces having sequences is aligned in a dimension of the sequences in order of the sequences that is learning data used for machine learning; and a model generating unit configured to generate the model for estimation by performing machine learning using the learning information as an input to the model for estimation performing convolution using a kernel in the dimension of the sequences.

The present disclosure relates to an information processing apparatus, an information processing method, and a program enabling to present a feature serving as a reason and a basis of being searched, of a music piece searched in response to a request of a user. A music piece is searched on the basis of a search request of a user, and information is generated, as a response to the search request, in which a feature that is of the searched music piece and corresponds to the search request is expressed by a balloon size for each type of the feature. The present invention can be applied to a music piece agent device.

A method for automatically generating an audio signal, the method comprising receiving a source audio signal analyzing the source audio signal to identify a musical parameter characteristic thereof obtaining a supplemental audio signal based on the identified musical parameter characteristic and combining the source audio signal and the supplemental audio signal to form an extended audio signal.

Systems, devices, media, and methods are described for presenting a tutorial in augmented reality on the display of a smart eyewear device. The system includes a marker registration utility for setting a marker on a musical instrument, a localization utility for locating the eyewear device relative to the marker location and the instrument, a virtual object rendering utility for presenting a series of virtual tutorial objects on the display near one or more actuators on the instrument, and a hand tracking utility for tracking the performer's finger locations in real time during playback of a song file. A high-definition video camera captures sequences of frames of video data. The series of virtual tutorial objects, in one example, includes graphical elements presented on a virtual scroll that appears to move toward the instrument at a speed correlated with the song tempo. The hand tracking utility calculates a set of expected fingertip coordinates based on a detected hand shape and a library of hand poses and landmarks.

Systems and methods for facilitating transactions of musical stems between users of an online gaming platform and mixing of the musical stems are disclosed. Exemplary implementations may: store information regarding tracks; transmit a purchase request regarding a given stem; receive a notification of the assignment of the right to use the given stem, wherein the assignment is recorded on a blockchain; obtain the given stem, generate an arrangement based on one or more stored tracks and the given stem, and playing back the generated arrangement.

A device for automatically generating a real time accompaniment of input music data includes a music input that receives music data. A music analyzer analyzes received music data to obtain a music data description including one or more characteristics of the analyzed music data. A query generator generates a query to a music database including music patterns and associated metadata including one or more characteristics of the music patterns, the query being generated from the music data description and from an accompaniment description describing preferences of the real time accompaniment and/or music rules describing general rules of music. A query interface queries the music database using a generated query and receives a music pattern selected from the music database by use of the query. A music output outputs the received music pattern.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops.

A type estimation model generation system is a system that generates a type estimation model used for type estimation of estimating one of a plurality of types to which a user belongs, the system including: a learning data acquiring unit configured to acquire learning time series information that is information of a time series about a plurality of used musical pieces and learning type information representing types to which users who have used the plurality of musical pieces belong that are learning data used for machine learning; and a model generating unit configured to generate the type estimation model by performing machine learning using information based on the learning time series information as an input for the type estimation model in units of musical pieces in order of the time series and information based on the learning type information as an output of the type estimation model.

A music production system comprises: a computer interface comprising at least one input for receiving an external request for a piece of music and at least one output for transmitting a response to the external request which comprises or indicates a piece of music incorporating first music data; a first music production component configured to process second music data according to at least a first input setting so as to generate the first music data; a second music production component configured to receive via the computer interface an internal request, and provide the second music data based on at least a second input setting denoted by the internal request; and a controller configured to determine in response to the external request the first and second input settings, and instigate the internal request via the computer interface.