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.

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: Indications of sample machine learning models which create synthetic content items are provided via programmatic interfaces. A representation of a synthetic content item produced by one of the sample models in response to input obtained from a client of a provider network is presented. In response to a request from the client, a machine learning model is trained to produce additional synthetic content items.

Abstract: An electronic musical instrument according to one embodiment includes: a sound source configured to generate a first sound signal and a second sound signal in accordance with an instruction signal for instructing to produce a sound; a first output unit configured to output a third sound signal containing the first sound signal and the second sound signal at a first sound volume ratio; and a second output unit configured to output a fourth sound signal containing the first sound signal and the second sound signal at a second sound volume ratio that is different from the first sound volume ratio.

Abstract: Systems and methods are disclosed for generating color sets based on musical concepts of pitch intervals and harmony. Color sets are derived via a music-to-hue process which analyzes musical pitch data associated with musical input to determine pitch intervals included in the music. Pitch interval angles associated with the pitch intervals are applied to a tuned hue index to identify hue note ordered within the index which are separated by a hue interval angle similar to the pitch angle associated with the analyzed pitch data. The systems and methods provide for the creation of color sets which are analogous to musical chords in that they include multiple hue notes selected based on hue interval angles derived from musical interval angles associated with the received musical input.

Abstract: Disclosed herein is a tempo setting device including a detecting unit that deems a predetermined utterance as a detection target and detects the utterance of the detection target through recognizing sound, a tempo deciding unit that decides a tempo based on a detection interval of the detected utterance in response to two or more times of consecutive detection of the utterance of the detection target by the detecting unit, and a setting unit that sets the tempo decided by the tempo deciding unit.

Abstract: A reference part determiner determines a reference part from a plurality of parts including at least three parts. A subject part group determiner determines a subject part group from the plurality of parts, excluding the reference part determined by the reference part determiner out of the plurality of parts as a subject part group. An acquirer acquires a change pattern of a first audio parameter value set for the reference part. A changer changes a second audio parameter value set for the subject part group determined by the subject part group determiner according to a change pattern acquired by the acquirer.

Abstract: A method for generating a musical score based on user performance during playing a keyboard instrument may include detecting a status change of a plurality of execution devices of the keyboard instrument. The method may include generating a first signal according to the detected status change. The method may include generating a second signal indicating a plurality of timestamps. The method may include determining a tune of the musical score based on the first signal. The method may include determining a rhythm of the musical score based on the second signal. The method may further include generating the musical score based on the tune and the rhythm of the musical score.

Abstract: An acoustic musical instrument a hollow body, neck, speaker, and digital audio device. A control circuit is coupled to the speaker and the digital audio device. The speaker is externally positioned on the hollow body. The digital audio player is externally positioned on the hollow body. The control circuit is communicatively coupled to a MIDI component, an electronic tuner, amplifier board, and an effects board. A plurality of light emitting diodes are positioned on the neck and coupled to the control circuit. The control circuit is configured to synchronicitously energize the LEDs with an audio file that is executed by the digital audio device. The control circuit is configured to synchronicitously energize the LEDs according to instructions received external to the acoustic musical instrument. The speaker is communicatively coupled to the amplifier board. The digital audio device captures sounds that are generated by the acoustic musical instrument.

Abstract: 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.

Abstract: A method of teaching keyboard instruments involves placing semi-permanent plates on specific keys of the keyboard, providing tactile stimulation which will develop muscle memory and confidence in playing correct notes. Different textures and colors may be employed to help differentiate plates and associated keys from others. Placement of plates on keys is to be determined by the instructor in consideration of the student's needs. Placement may be made on one or multiple keys, which may include an entire middle octave. Texturing may be a subtle as Braille characters or more bold designs and individual shapes of the plates may be flat or may be shaped to facilitate hand posture. Colors may be associated with specific notes on the grand staff to provide a visual aid. Finger adornments may also be used to aid in color correspondence. Plates may be held onto piano keys by utilizing either wet or dry adhesives.

Abstract: 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.

Abstract: An electronic musical instrument includes: a memory that stores lyric data including lyrics for a plurality of timings, pitch data including pitches for said plurality of timings, and a trained model that has been trained and learned singing voice features of a singer; and at least one processor, wherein at each of said plurality of timings, the at least one processor: if the operation unit is not operated, obtains, from the trained model, a singing voice feature associated with a lyric indicated by the lyric data and a pitch indicated by the pitch data; if the operation unit is operated, obtains, from the trained model, a singing voice feature associated with the lyric indicated by the lyric data and a pitch indicated by the operation of the operation unit; and synthesizes and outputs singing voice data based on the obtained singing voice feature of the singer.

Abstract: An automated music composition and generation system for automatically composing and generating digital pieces of music using an automated music composition and generation engine driven by a set of emotion-type and style-type musical experience descriptors and time and/or space parameters provided by a system user.

Abstract: In implementations of searching for music, a music search system can receive a music search request that includes a music file including music content. The music search system can also receive a selected musical attribute from a plurality of musical attributes. The music search system includes a music search application that can generate musical features of the music content, where a respective one or more of the musical features correspond to a respective one of the musical attributes. The music search application can then compare the musical features that correspond to the selected musical attribute to audio features of audio files, and determine similar audio files to the music file based on the comparison of the musical features to the audio features of the audio files.

Abstract: The present disclosure relates to systems, methods, and devices for music simulation. The methods may include determining one or more simulation actions based on data associated with one or more simulation actions acquired by at least one sensor. The methods may further include determining, based on at least one of the one or more simulation actions and a mapping relationship between simulation actions and corresponding musical instruments, a simulation musical instrument that matches with the one or more simulation actions. The methods may further include determining, based on the one or more simulation actions, one or more first features associated with the simulation musical instrument. The methods may further include playing music based on the one or more first features.

Abstract: An automated music composition and generation system having an automated music composition and generation engine for receiving, storing and processing musical experience descriptors and time and/or space parameters selected by the system user. The automated music composition and generation engine includes a user taste generation subsystem for automatically (i) determining the musical tastes and preferences of a system user based on user feedback and autonomous piece analysis, (ii) maintaining a system user profile reflecting musical tastes and preferences of each system user, and (iii) using the musical taste and preference information to change or modify the musical experience descriptors provided to the system to produce a digital piece of composed music composition that better reflects the musical tastes and preferences of the system user.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving media content from user equipment, wherein the media content comprises a sample of an existing work used to modify an original work; analyzing the media content using machine learning to determine a plurality of composition parameters that characterize aspects of the media content; recording the plurality of composition parameters determined, including an identification of composition parameters in the plurality of composition parameters attributable to the existing work, and an identification of composition parameters attributable to the original work, in a blockchain ledger; searching for the composition parameters in the blockchain ledger for one or more works having similar composition parameters; and reporting any works found during th

Abstract: A data generation device includes: an acquisition part configured to acquire measurement data that corresponds to measurement values, obtained in chronological order, corresponding to a behavior of a key or a member coordinating with the key for each of a plurality of keys; and a data generation part configured to generate display data for displaying a screen showing the measurement values corresponding to each of the plurality of keys along a time axis based on the acquired measurement data.

Abstract: A guitar multi-effects pedalboard is provided. The pedalboard has footswitches and a memory storing guitar-effect presets for processing an inputted guitar signal when the processing is triggered by pressing a footswitch. The pedalboard has one or more processors coupled to the memory and configured to process a first portion of an inputted guitar signal on a first audio-engine thread with a first guitar-effect preset when processing the first portion is triggered by pressing a footswitch. The one or more processors also process a second portion of the inputted guitar signal on a second audio-engine thread with a second guitar-effect preset while simultaneously processing the first portion of the inputted guitar signal on the first audio-engine thread with the first guitar-effect preset when processing the second portion is triggered by pressing a footswitch. The one or more processors simultaneously output the processed first portion and the processed second portion.