59results about "Notation recording" patented technology

Aspects of embodiments pertain to a method for determining an Input / Output (I / O) device configuration for a music teaching system. The method may comprise receiving a plurality of I / O device configurations of a music teaching system; receiving, for a given I / O device of the music teaching system, an initial I / O device configuration; and determining an updated I / O device configuration for the given I / O Device, based on the initial I / O device configuration of the given I / O Device and at least one of the plurality of received I / O device configurations. The determining is performed such that the updated I / O device configuration has improved device performance compared to the initial I / O device configuration.

The invention discloses an automatic music transcription model training method and system, electronic equipment and a storage medium. The method comprises the following steps: extracting structured music score features and audio features; encoding the structured music score features to obtain music score encoding features, and encoding the audio features to obtain audio encoding features; inputting the music score coding features and the audio coding features into a Transform module; an output result of the Transform module is decoded, a target structured music score file is generated, and prediction probability distribution of Token is output; constructing a target loss function based on the real probability distribution and the predicted probability distribution; and training a Transform module in a back propagation mode by adopting the standard structured music score file, the target structured music score file and the target loss function to obtain a trained automatic music transcription model. The accuracy of automatic music transcription can be improved.

To estimate a beat point that is appropriately suitable to user's intention.SOLUTION: An information analysis system 100 includes a beat point estimation part 21 for estimating a plurality of beat points B by estimation processing to an acoustic signal A, a beat point edition part 24 for moving a target beat point selected by a user among the plurality of beat points B and one or more adjacent beat points located around the target beat point among the plurality of beat points on a temporal axis according to an instruction from the user, an update processing part 25 for updating estimation processing in accordance with movement of the target beat point and the one or more adjacent beat points. The beat point estimation part 21 re-estimates the plurality of beat points B by executing updated estimation processing to the acoustic signal A.SELECTED DRAWING: Figure 2

To provide a method and system for recommending and composing emotional music.SOLUTION: A method includes identifying a listener's current emotional state and a target emotional state, and generating an audio stream that is a music playlist to be presented to a user as auditory stimulation with an intention of producing a controlled trajectory of the listener's emotional state from the current state to the target state. The audio stream is generated by a machine learning system trained using data from the listener and / or other users indicating effectiveness of specific audio segments having specific features in producing a desired emotional trajectory, and is updated based on changes in an emotional state induced in the listener after exposure to the auditory stimulation. The machine learning system acquires, over time, a robust interpretation of a relationship between music and human emotion, and composes, masters, and / or adapts music configured to induce specific emotional responses in listeners.SELECTED DRAWING: Figure 17A

The system according to this embodiment aims to provide a comprehensive service, from generating musical scores and providing music instruction to matching members and suggesting performance opportunities. [Solution] The system according to the embodiment comprises a generation unit, a teaching unit, a matching unit, and a suggestion unit. The generation unit reads a song and generates a musical score. The teaching unit provides music instruction based on the musical score generated by the generation unit. The matching unit matches members based on the user data provided by the teaching unit. The suggestion unit proposes a performance setting based on the members matched by the matching unit.

The invention relates to the field of playing skill display, in particular to a playing skill display method and system, and the method comprises the steps: obtaining notes related to playing skill from a current music score; determining a first skill rule of the playing skill according to the first background information; wherein the first background information is used for representing category attributes of the music score; determining an adjustment interval of the playing skill according to the second background information; wherein the second background information is used for representing music attributes of adjacent music segments of the notes; correcting the first skill rule according to the adjustment interval to obtain a second skill rule; determining a reference music attribute according to the third background information; the third background information is used for representing music attributes of the notes; generating a skill expansion music score of the playing skill by adopting a second skill rule and the reference music attribute; wherein the first skill rule and / or the second skill rule are / is used for defining an analysis rule of at least one music attribute. According to the invention, the playing skill display accuracy and scene adaptability can be greatly improved.

Provided is a music-piece analysis device including: a voice analysis portion that extracts, from voice data of a music piece including a first part and a second part that can be separated in voice, voice data of the first part, data of a unit sound of the second part, and data indicating a pronunciation position of the second part; a display portion that causes GUI for rearranging the unit sound of the second part to be displayed; and a mix processing portion that generates mixed voice data in which the unit sound rearranged by an operation via the GUI is mixed with the voice data of the first part, in which the voice analysis portion detects a rhythm pattern of the music piece by synchronously adding the data indicating the pronunciation position of the second part by the unit of bar, and the display portion displays the GUI on the basis of the rhythm pattern.

The invention provides a music time coding method for artificial neural network modeling. The method aims at the coding requirement of music beat time, molecules are decomposed according to a fixed denominator for multi-bit independent classification coding, and the method comprises the following steps: setting the fixed denominator as a composite number and decomposing the composite number into a prime factor combination; the molecules are mapped into vectors, the value range of each bit is determined by a cardinal number of a prime factor combination, and the vectors are converted into one-hot coding sub-vectors with redundant components removed. The technical scheme of the invention solves the problem that the traditional mean square error (MSE) ignores the internal correlation of scores and has high sparsity in the topology recognition task of an optical music recognition system (OMR), and compared with a traditional coding method adopting floating point numerical output and a mean square error loss function under the conditions of the same data set, model architecture and training hyper-parameters, the method provided by the invention has the advantages that the coding efficiency is greatly improved; according to the method, the comprehensive error index is reduced by about 21%, and the model precision and the training efficiency are improved.

Efficiently generates visuals that match the image of the music. [Solution] The information processing device 1 comprises an acquisition unit 11 that acquires music data DM representing a song, an estimation unit 12 that uses a trained model MJ that has learned the relationship between the features of a song and the features of an image to estimate the features of an image corresponding to the song represented by the music data DM at predetermined intervals, and a generation unit 13 that generates video data DMV representing video synchronized with the song represented by the music data DM based on the estimation results of the estimation unit 12, wherein the predetermined period is an integer multiple of the beat duration of the song represented by the music data DM.

The invention relates to the technical field of digital media intelligent transmission, in particular to a data transmission method and system for a piano full recording and broadcasting system. The method comprises the following steps: synchronously acquiring audio and video signals and extracting a main sound frequency characteristic value; converting the frequency into a video transverse coordinate interval based on a preset key mapping table, and generating visual focusing area data; dividing a video frame into a high-priority block and a low-priority block according to the visual focusing area data, respectively executing fine coding and compressed coding, and packaging into a differentiated transport stream; and a receiving end performs smooth reconstruction on the block boundary after decoding. Through audio-driven cross-modal cooperative coding, the peak signal-to-noise ratio and subjective visual quality of a key hand action area are remarkably improved, the overall transmission code rate is effectively reduced, meanwhile, block artifacts generated due to quantization differences are eliminated, resource allocation and detail reduction are considered under limited bandwidth, and the method is suitable for large-scale popularization and application. And the real-time performance and the picture fineness in a remote piano teaching and appreciation scene are improved.

An apparatus for archiving music created on guitars including acoustic and electric, comprising an archiving device configured to record as well as archive any combination of riffs, songs, and leads comprises a PCB that comprises all the electrical connections along with a pair of batteries to power up the archiving device, wherein the PCB comprises a controller configured to detect music played on the said guitar and automatically record the music played upon a memory card inserted into the memory card slot; a disc-shaped user interface plate that sits beneath a knob of a potentiometer on the top surface of the said guitar, wherein the user interface plate has a plurality of buttons, a plurality of LEDs, a memory card slot, and a USB slot.

To generate data to be used as a temporal reference for video data, from the video data.SOLUTION: A performance analysis system 40 includes: a video data acquisition unit 51 that acquires video data X generated by capturing an image of a percussion instrument; an analysis processing unit 53 that analyzes the video data X, thereby detecting vibrations caused by performance in the percussion instrument; a performance data generation unit 54 that generates performance data Q representing the performance in accordance with a result of detection; and a metrical data generation unit 56 that generates metrical data R representing a metrical structure from the performance data Q.SELECTED DRAWING: Figure 9

The present application relates to a twelve-semitone isomorphic keyboard or soundboard group, which adapts to the natural arch of five fingers by using color allocation layouts, tone key shapes, concave-convex touch recognition points, etc., so as to achieve the technical effects of quickly identifying note positions, and simplifying and unifying fingering. Correspondingly, the structures of transmission apparatuses of a piano and an electronic organ are also changed. The present application further relates to a matching twelve-semitone independent-note isomorphic notation method, and software and apparatuses for music score creation, music score singing and note singing. A system endows a music score with various pattern identification detail features to match the music scores to note positions of a musical instrument on a one-to-one basis, such as a twelve-semitone pitch scale, a series of octave clefs, opposite notehead-stem directions between lines, zigzag bar lines and four sets of note systems, making music score information intuitive and concise, and reducing the workload of brain conversion during music score recognition, and thus increasing the reaction speed. The software and apparatuses for music score creation, music score singing and note singing are powerful tools for recording vocal music in a music score form and teaching music score singing.

An information processing method is realized by a computer system, and includes acquiring performance information relating to a performance of a musical instrument by a user, acquiring response information in natural language corresponding to the performance information, and executing a notification action for notifying the response information by a guide character displayed on a display device.

To provide new technology for evaluating performance of a musical instrument.SOLUTION: A camera 10 is installed to photograph a user 60 playing an object musical instrument 70. The user 60 plays an object musical piece with the object musical instrument 70. A performance evaluation device 2000 acquires video data 20 generated by the camera 10 photographing performance. The performance evaluation device 2000 generates user performance information 50 by analyzing the video data 20. The user performance information 50 indicates an item value of an evaluation item on performance of the object musical instrument 70 in performance by the user 60. The performance evaluation device 2000 acquires reference information 40 indicating a reference item value on the object musical piece. The performance evaluation device 2000 generates evaluation information 30 representing evaluation of performance by the user 60 by comparing the reference information 40 with the user performance information 50.SELECTED DRAWING: Figure 1

The present invention discloses an embedded music / Braille text conversion system capable of visually, audibly and tactilely synchronously presenting, which includes an acquisition module for acquiring musical scores in MusicXML format, a conversion module for converting the musical scores in MusicXML format into Braille musical scores consisting of Braille dots, and an output module for simultaneously outputting the Braille musical scores in three ways: visually, audibly and tactilely. The conversion system has a fast calculation speed and high accuracy, smoothly provides a new feasible means for Braille musical score information, and can realize the embedded function of visually, audibly and tactilely synchronously presenting Braille musical scores, with clear and accurate visual display, complete auditory reproduction, clear tactile sensation, and better presentation effect, which can further improve the efficiency of visually impaired people learning musical scores, and provide convenience for visually impaired people to acquire and touch-read a large amount of music materials.

The system according to the embodiment aims to maximize performance by providing music that matches the content of a user's task. [Solution] A system according to an embodiment includes a receiving unit, a calculation unit, a generation unit, a provision unit, and a collection unit. The receiving unit inputs task content. The calculation unit calculates a recommended tempo based on the task content input by the receiving unit. The generation unit generates music based on the recommended tempo calculated by the calculation unit. The provision unit provides the music generated by the generation unit. The collection unit collects user feedback on the music provided by the provision unit.

To enable performance effects similar to those of a talking modulator to be realized in a non-contact manner.SOLUTION: A sound processing device 20 comprises: an estimation unit 21 that estimates a frequency and an amplitude of formant related to a voice of a user U based on an input image IG indicating the mouth of the user U; and a modulation unit 22 that outputs a sound signal SS obtained by modulating an instrument performance signal PS according to the estimated frequency and amplitude of the formant.SELECTED DRAWING: Figure 1

Efficiently generates visuals that match the image of the music. [Solution] The information processing device 1 comprises an acquisition unit 11 that acquires music data DM representing a song, an estimation unit 12 that uses a trained model MJ that has learned the relationship between the features of a song and the features of an image to estimate the features of an image corresponding to the song represented by the music data DM at predetermined intervals, and a generation unit 13 that generates video data DMV representing video synchronized with the song represented by the music data DM based on the estimation results of the estimation unit 12, wherein the predetermined period is an integer multiple of the beat duration of the song represented by the music data DM.

A teaching device (10) includes a reference data acquisition unit (11), a performance data acquisition unit (12), a detection unit (13), an estimation unit (14), and a guidance unit (15). A reference data acquisition unit (11) acquires reference data indicating a time series of reference sounds. A performance data acquisition unit (12) acquires performance data indicating a time series of sounds represented by a user's performance. The detection unit (13) detects a performance error by comparing the reference data and the performance data. The estimation unit (14) estimates the cause of the error on the basis of the performance history. The guidance unit (15) determines guidance content on the basis of the occurrence frequency and cause of the error.

To faithfully reproduce sound of a performance at the time of performance, and to drive actuators based on the sound of the performance to accurately reproduce the performance at the time of performance.SOLUTION: A sound output system according to one embodiment includes: a speaker device that outputs sound in accordance with supplied sound data; and an operation device that includes one or more operators, a drive unit that drives the one or more operators based on performance data supplied in synchronization with the sound data, and a drive control unit that controls the drive unit. According to the sound output system, performance sound during the performance can be faithfully reproduced, and the actuators can be driven based on the sound of the performance to accurately reproduce the performance during the performance.SELECTED DRAWING: Figure 1

An information processing system 100 comprises: an input data acquisition unit 21 that acquires input data A including a condition token X designating any of a plurality of different processes and an acoustic token Y representing a frequency characteristic of an acoustic signal S; and an output data generation unit 22 that, by processing the input data A by a machine-trained generation model M, generates output data B representing a result of executing a process designated by the condition token X among the plurality of processes on the acoustic signal S represented by the acoustic token Y.

The present application relates to the technical field of pedal data processing, and particularly relates to a method and system for replacing pedal data in a playing file. The method comprises: obtaining a playing file of a piece of music; obtaining a score file corresponding to the piece of music; generating an insertion node according to the score file and a pedal insertion rule, and / or according to the playing file, wherein the pedal insertion rule comprises a chord rule; selecting replacement data of a pedal in response to a selection signal of a user, wherein the selection signal comprises a specified style or a specified pedal file; and inserting the replacement data into the insertion node to form a new playing file. The present application can meet the demand of users who want to reference pedal data of others by replacing pedal data, and greatly improves the efficiency of music production, teaching assistance, performance analysis and the like.

The system according to the embodiment aims to generate musical scores based on music data without requiring specialized knowledge, and to apply for permission from the copyright holder. [Solution] The system according to the embodiment comprises a reception unit, an analysis unit, a generation unit, and an application unit. The reception unit uploads music data. The analysis unit analyzes the music data uploaded by the reception unit. The generation unit generates a musical score based on the data analyzed by the analysis unit. The application unit submits a permission request to the author based on the musical score generated by the generation unit.

A music performance feedback tool is described herein that enables a musician to play freely and receive feedback in real-time. The tool tracks the musician as they progress through a piece and returns optimal feedback given an input sequence produced by the musician. The tool enables musicians to practice in a fashion that is most natural and pedagogically correct. The tool provides musicians with annotations indicating what notes in the score they failed to play, erroneously added notes, and the like. The tool further provides the musician with tempo and rhythmic feedback.

To provide a full enumeration and indexing system for counterpoint melodies capable of fully enumerating and indexing all common melodies, including various note values, rests and accidentals, in accordance with the rules for learning species counterpoint.SOLUTION: A full enumeration and indexing system for counterpoint melodies for enumerating and indexing all melodies that are possible under a learning rule in a species counterpoint: inputs information on melody type, melody, voice type, key signature, and measure number; creates a whole melody diagram based on the input information on melody type, melody, voice type, key signature, and measure number and a counterpoint rule; represents a set of melodies including all the melodies included in the whole melody diagram in the form of a zero suppression type binary decision graph; removes all the melodies violating the learning rule from the set of melodies; and performs full enumeration of melodies by calculating the number of elements in the set of melodies after removing all the melodies violating the learning rule from the set of melodies.SELECTED DRAWING: Figure 1

Provided is a data processing method comprising: acquiring, from a first trained model to which performance data is inputted, first sound control data including pitch information, note value information, and sound generation timing; inputting parameters corresponding to the first sound control data and first user-specified information to a second trained model; and acquiring second sound control data from the second trained model.

An information processing system has an operation detecting section that detects operations by a user with respect to a plurality of operation pieces corresponding to different pitches, and an operation analyzing section that determines a chord corresponding to a combination of two or more operation pieces of the plurality of operation pieces for which operations are detected, and including a root note defined in correspondence with operation amounts or operation strengths of the two or more operation pieces, respectively.

The present disclosure relates to an information processing method, an information processing device, and a program that make it possible to improve the performance of a downstream task. Provided is an information processing method comprising inputting music data to a music-based model trained using a data set and extracting a plurality of intermediate feature quantities having different information granularities from an intermediate layer of the music-based model, and training a model of a downstream task of the music-based model using the extracted intermediate feature quantities. The present disclosure can be applied, for example, when training a model of a downstream task including music tagging, music transcription, music source separation, and music mixing.