Systems, devices, and methods for segmenting musical compositions are described. Discrete, musically-coherent segments (such as intro, verse, chorus, bridge, solo, and the like) of a musical composition are identified. Distance measures are used to evaluate whether each bar of a musical composition is more like the bars that directly precede it or more like the bars that directly succeed it, and each respective series of musically similar bars is assigned to the same respective segment. Large changes in the distance measure(s) between adjacent bars may be used to identify boundaries between abutting musical segments. Computer systems and computer program products for implementing segmentation are also described. The results of segmentation may advantageously be applied in computer-based composition of music and musical variations, as well as in other applications involving labelling, characterizing, or otherwise processing music.

A computer-implemented method includes obtaining a trained model trained to store a relationship between first performance data and first evaluation data. The first performance data indicates a performance performed by a performer. The first evaluation data indicates a first evaluation of the performance. The first evaluation has been made by an audience who has received the performance. The method also includes obtaining second performance data. The method also includes processing the second performance data using the trained model to make an inference of a second evaluation of the second performance data. The method also includes outputting second evaluation data indicating the inference of the second evaluation.

A tool is needed for music instrument learners to get feedbacks on the correctness of their performances of a particular piece of music. The invention disclosed here is such a tool that can provide music instrument players instant feedback on note pitch and rhythms accuracy based on sheet music. This is accomplished through audio signal processing, sheet music image processing, and conversion of both analogue images and audio signals into standard digital music representation so a comparison can be done and hence a feedback can be presented to the player. An advanced feature will allow users to save the data to the cloud and retrieve later for comparison of progress. It also will allow user to participate an online competition with other players of the same piece of music.

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.

Systems and methods for identifying the most impactful moments or segments of music, which are those most likely to elicit a chills effect in a human listener. A digital music signal is processed using two or more objective processing metrics that measure acoustic features known to be able to elicit the chills effect. Individual detection events are identified in the output of each metric based on the output being above or below thresholds relative to the overall output. A combination algorithm aggregates concurrent detection events to generate a continuous concurrence data set of the number of concurrent detection events during the music signal, which can be calculated per beat. A phrase detection algorithm can identify impactful segments of the music based on at least one of peaks, peak-proximity, and a moving average of the continuous concurrence data.

An acoustic device includes: a first display unit; a second display unit; an operation unit configured to receive a user's operation; a judging unit configured to judge a type of the operation performed on the operation unit; and a display controller configured to, in response to the type of the operation determined by the judging unit, change display contents of the first display unit to display contents corresponding to the type of the operation and display on the second display unit at least a part of the display contents having been displayed on the first display unit.

An estimation model construction method realized by a computer includes preparing a plurality of training data that include first training data that include first feature amount data that represent a first feature amount of a performance sound of a musical instrument and first onset data that represent a pitch at which an onset exists, and second training data that include second feature amount data that represent a second feature amount of sound generated by a sound source of a type different than the musical instrument, and second onset data that represent that an onset does not exist, and constructing, by machine learning using the plurality of training data, an estimation model that estimates, from a feature amount data that represent a feature amount of a performance sound of the musical instrument, estimated onset data that represent a pitch at which an onset exists.

There is provided an information processing device, an information processing method and a program that provide, as feedback to a user, information based on a level of collaboration of multiple movement elements in a performance provided by collaborative or non-collaborative moves of multiple parts of a body of the user and that are usable to support mastering a performance. The information processing device includes a sensing data acquisition unit configured to acquire multiple sets of sensing data from at least one sensors configured to sense a condition of multiple movement elements in a performance that is performed because multiple parts of a body of a user move; a calculator configured to calculate collaboration information representing move collaborativeness of the movement elements from the acquired multiple sets of sensing data; and a notification unit configured to notify the user of feedback information based on the calculated collaboration information is provided.

Provided is an information processing apparatus that generates various kinds of time series data according to a performance tendency of a user. The information processing apparatus includes an index specifying unit 22 that specifies performance tendency information that indicates a performance tendency of a performance of a musical piece by a user by inputting observational performance data X representing the performance to a learned model La and an information processing unit 23 that generates time series data Z regarding the musical piece according to the performance tendency information.

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.