Devices, systems, and methods are provided for analyzing and treating learning disorders using software as a medical device. A method may include identifying, by a device, application-based cognitive musical training (CMT) exercises associated with performance of software; receiving a first user input to generate a first sequence of the application-based CMT exercises; presenting a first application-based CMT exercise of the application-based CMT exercises based on the first sequence; receiving, during the presentation of the first application-based CMT exercise, a second user input indicative of a user interaction with the first application-based CMT exercise; generating, based on a comparison of the second user input to a performance threshold, a second sequence of the application-based CMT exercises, the first sequence different than the second sequence; and presenting a second application-based CMT exercise of the application-based CMT exercises based on the second sequence.

Musical catalog amplification services that leverage or deploy a computer-based musical composition system are described. The computer-based musical composition system employs algorithms and, optionally, artificial intelligence to generate new music based on analyses of existing music. The new music may be wholly distinctive from, or may include musical variations of, the existing music. Rights in the new music generated by the computer-based musical composition system are granted to the rights holder(s) of the existing music. In this way, the musical catalog(s) of the rights holder(s) is/are amplified to include additional music assets. The computer-based musical composition system may be tuned so that the new music sounds more like, or less like, the existing music of the rights holder(s). Revenues generated from the new music are shared between the musical catalog amplification service provider and the rights holder(s).

A method and an information processing apparatus to generate a digital score file of a song are described. The information processing apparatus includes processing circuitry. The processing circuitry is configured to obtain a candidate audio file satisfying a first condition from audio files of unaccompanied singing of the song without instrumental accompaniment. The processing circuitry is configured to divide the candidate audio file into valid audio segments based on timing information of the song, and extract pieces of music note information from the valid audio segments. Each of the pieces of music note information includes at least one data set of a music note in the song. The data set includes an onset time, a duration, and a music note value of the music note. The processing circuitry is configured to generate the digital score file based on the pieces of music note information.

An apparatus including a home automation system, a memory device of the home automation system containing a plurality of musical performances, a processor that recognizes a command from a user to play one of a plurality of musical performances and a processor that receives a verbal input at least partially mimicking a portion of one or more of the plurality of musical performances from the user, matches the verbal input with one or more of the plurality of musical performances and plays a matching musical performance.

Apparatus, methods, and systems that operate to perform machine-control of a device based on machine-detected transitions are disclosed.

To provide a transmission method of an arbitrary signal using an acoustic sound hardly affecting the mood (quality) of the original acoustic sound even if an arbitrary signal within an audible frequency range is combined into the acoustic sound such as music. The method comprises a step of finding a separable sound, of which a fundamental element (fundamental sound) b2 contributing mainly to recognition of a single sound and an additional element contributing collaterally to recognition of the single sound are separable on temporal axis or frequency axis, among plural sounds composing the acoustic sound, or inserting a separable sound into the plural sounds composing the acoustic sound. The additional element of the separable sound found or inserted is transcribed by a signal pattern b1-1, b1-2 of the arbitrary signal. By means of the acoustic sound of which additional element is transcribed, the arbitrary signal b1-1, b1-2 is transmitted. The additional element may be a sound generated when transmitting vibration energy to a resonance body (resonant body). The fundamental element may be a sound produced according the own resonance mode (resonant mode) by the resonance body (resonant body) receiving the vibration energy.

The subject disclosure relates to automated songwriting. In some aspects, a process of the disclosed technology can include steps for training a melody prediction model for selecting melodies for lyrics using a corpus of songs, the melody prediction model including modeled melody features and corresponding modeled patterns of lyric features, receiving lyric input of lyrics including a pattern of lyric features from a user, applying the melody prediction model to the lyric input to automatically generate one or more melodies for the lyric input by matching the pattern of lyric features in the lyric input to a first subset of the modeled melody features using the corresponding modeled patterns of lyric features of the modeled melody features, and providing the one or more melodies to the user to generate a song using the lyrics.

An electronic musical instrument allows a player to operate operators as least number of times as possible to play music, and the player can play music easily and agreeably, using the instrument. Every measure decided by plural beats counted based on a designated meter a prior tone is determined from among automatic playing music data. The prior tone is a musical tone which is made note-on for example at a timing of a downbeat in the measure. If a candidate for the prior tone is one of chord composing tones, and the one of chord composing tones can compose a melody, then such musical tone is decided as the prior tone. The prior tones successively decided from the beginning of the automatic playing music data are indicated to the player as lighted up keys. The player operates the lighted up keys successively to perform the automatic playing music data.

The present invention relates to a computer-implemented method for generating an exercise program comprising a plurality of exercise intervals, the method comprising the steps of: providing a playlist comprising at least one music track, identifying a plurality of music sections in the at least one music track, wherein each music section is identified based on identification of musical characteristics such as musical elements and time flow, generating an exercise program, the exercise program comprising a plurality of exercise intervals, wherein at least the timing and intensity of each exercise interval correspond to one or more consecutive identified music sections of the at least one music track in the playlist. Thereby, the user. e.g. the athlete or an instructor, can end up with an exercise program, where there is a fit between the exercise intervals in the exercise program and the music accompanying the training program. An intuitive feel of intensity is obtained based on the songs in the playlist accompanying the training program, because the exercise program and its exercise intervals have been generated based on the music and the music sections in the music.

Computer-based systems, devices, and methods for assigning mood labels to musical compositions are described. A mood classifier is trained based on mood-labeled musically-coherent segments of musical compositions and subsequently applied to automatically assign mood labels to musically-coherent segments of musical compositions. In both cases, the musically-coherent segments are generated using automated segmentation algorithms.