635results about "Music" patented technology

The invention relates to the technical field of music teaching, and discloses a piano pedal motion range indicating device for music teaching, which comprises a placing plate and an indicating structure arranged on the placing plate, and is characterized in that a sucker is mounted at the bottom of the placing plate; the indicating structure comprises an indicating frame, a soft pedal display screen, a noise reduction pedal display screen and a tenuto pedal display screen are sequentially arranged on the front face of the indicating frame from left to right, a reminding piece for reminding pedal switching is further arranged on the indicating frame, and a first indicating piece for displaying actions of the soft pedal is arranged on the soft pedal display screen. Through the arrangement of the indication structure, the action and amplitude of the piano pedal can be displayed, so that accurate reminding of the action of the piano pedal is realized, a practicer can conveniently and accurately control the action amplitude of the piano pedal, teaching display of the piano is further facilitated, the teaching effect of the piano can be improved, and rapid learning of the piano is facilitated.

The invention relates to the technical field of personalized pushing, in particular to a personalized music teaching content pushing system. The system comprises a user ability evaluation module, a teaching content matching module, a learning path planning module, a push strategy optimization module, a behavior analysis and prediction module, a teaching effect feedback module, a dynamic adjustment and optimization module and a personalized recommendation module. According to the invention, a clustering algorithm, a support vector machine, a random forest algorithm, accurate assessment of learner ability, K-means clustering and an analytic hierarchy process are adopted, teaching content and ability matching, a Dijkstra algorithm and dynamic planning are realized, a personalized learning path, a Q learning and strategy gradient method are designed, and a push strategy, a long and short term memory network and a seasonal decomposition time sequence are optimized. Learning requirements are predicted, the project reaction theory, the Markov decision process and the Bayesian network are utilized, feedback adjustment precision is improved, deep Q network and Monte Carlo tree search are carried out, personalized recommendation is optimized, and teaching efficiency and achievements are enhanced.

The invention relates to the field of playing data visualization, in particular to a playing data visualization method and system. The method comprises the steps that at least one section of pedal data of at least one pedal is obtained, and the pedal data comprises a pedal value and a time stamp of the pedal value; generating at least one section of labeling track according to the pedal data; wherein the labeling track comprises a first simulation track and a second simulation track; correspondingly, the method comprises the steps that when the pedal value is larger than a first pedal threshold value, a first simulation track is generated according to the pedal value, and the first simulation track is displayed in a first labeling form; when the pedal value is larger than a second pedal threshold value and smaller than or equal to the first pedal threshold value, a second simulation track is generated according to the pedal value, and the second simulation track is displayed in a second labeling form; and generating a combined track according to the at least one section of labeled track, and displaying the combined track on the music score. According to the invention, the smoothness and integrity of pedal data display can be improved, and the user experience is optimized.

The invention relates to the field of piano intelligent display, in particular to a playing data display method and system, and the method comprises the steps: obtaining music score data; the music score data comprises one or more of the following: standard time values, standard strength, standard fingering and standard pitches corresponding to the plurality of notes; the playing data of the user are obtained, the playing data of the user comprise data sets at multiple moments, and the data sets comprise one or more of the following data: time value data, force data, fingering data and pitch data; judging whether at least one data group is matched with the corresponding music score data or not; if yes, correlation comparison is carried out on the music score data and the matched data set, and the difference degree is calculated; and displaying the music score, and displaying the associated data group in a region corresponding to the notes. According to the playing data display method provided by the invention, visual optimization can be realized on the basis of ensuring the integrity of playing parameters.

The invention relates to the technical field of piano playing, and provides a digital piano playing auxiliary system optimized by using a machine learning algorithm, the system can configure a piano music score of a to-be-played music of a player in a digital piano in advance, and determine demonstration playing information and accompaniment information for each pronunciation of the piano music score; carrying out accompaniment coupling on each pronunciation time of the accompaniment information and the pronunciation time of the demonstration playing information, and constructing an accompaniment coupling configuration model; performing playing coupling on the demonstration playing information and the pronunciation controllable parameters of the digital piano, and constructing a playing pronunciation coupling configuration model; setting playing auxiliary constraint conditions of the digital piano, determining playing auxiliary optimization data based on the accompaniment coupling configuration model and the playing pronunciation coupling configuration model, taking the playing auxiliary optimization data as sample parameters of a preset machine learning model for training, and generating a target machine learning model; the purpose of the present invention is to optimize playing music when a player performs playing.

The present application relates to the technical field of piano, in particular to a piano pedal system, comprising an external unit and an additional unit; the external unit comprises: an external pedal module comprising at least one external pedal; a data acquisition module for acquiring the pedal data of the external pedal; a height adjustment module comprising a driving mechanism and two supporting mechanisms, the driving mechanism comprising a driving motor, a driving gear fixedly connected with the output shaft of the driving motor and two driving racks, the two driving racks being oppositely engaged on both sides of the driving gear, the supporting mechanisms being one-to-one arranged with the driving racks, the supporting mechanisms being connected between the driving racks and the external pedal module, the driving racks driving the supporting mechanisms to stretch or retract to realize the height adjustment of the external pedal module; the additional unit is used for stepping on the corresponding piano pedal according to the pedal data. The present application can be applied to different types and models of pianos and improve the accuracy and convenience of the height adjustment of the pedal.

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 present invention causes an avatar to perform an appropriate action in response to a user's action.　In this action control system, the actions of an avatar include dreaming, and when an action determination unit determines dreaming as the avatar's action, the action determination unit creates an original event by combining a plurality of sets of event data included in history data.

The invention discloses an intelligent piano teaching projection device and method based on computer vision. The device comprises a data acquisition and projection module, a calibration module, a data processing module, a side projection module and an auxiliary module. The intelligent piano teaching projection method realized based on the device comprises the following steps: segmenting a top view image of a player in a piano key area acquired by the data acquisition and projection module by using a Mask2form image segmentation model; constructing a finger skeleton of the player by using a finger skeleton modeling algorithm, judging whether the player performs playing correctly at the current moment, if so, keeping the light projection position of the data acquisition and projection module unchanged, prompting the player to press the keys again, and if not, stopping playing. If yes, keys needing to be pressed down and pedals needing to be treaded down at the next moment are prompted through projection, and guidance is provided for a player. According to the invention, the piano does not need to be transformed, and piano guidance can be realized through projection only by fixing the device on the piano.

The invention relates to the technical field of piano teaching and computers, discloses a multi-dimensional scoring auxiliary system and method in piano teaching, and aims to solve the problems that existing piano teaching is single in evaluation dimension, one-sided in data acquisition and lagged in feedback. According to the method, a five-dimensional scoring model covering rhythm, strength, timbre, posture and fingering is constructed by synchronously collecting a key triggering time sequence, an audio frequency spectrum, limb posture and finger joint tracks, and quantitative scores are output through time alignment, feature extraction and neural network fusion calculation. The system comprises a key sensing module, an audio acquisition module, a posture capture module, a score calculation module and an AR visual feedback module, and supports teaching suggestion generation, historical trend analysis, difficulty self-adaption and multi-person comparison functions. Through multi-modal data closed-loop evaluation and intelligent intervention, the teaching accuracy and individuation level are remarkably improved, and scientific quantification and efficient improvement of the piano playing ability are achieved.

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 a piano partner training device based on an AI technology, which comprises an AI intelligent processing system, the AI intelligent processing system comprises a sound recognition system, a fingering collection system and a dynamic collection system, the sound recognition system is electrically connected with a high-quality microphone mounted on a piano, and the high-quality microphone is electrically connected with the dynamic collection system. The fingering collection system is electrically connected with a plurality of groups of action collection sensors which are mounted on piano keys and respectively correspond to the keys, and the dynamic collection system is electrically connected with a high-resolution dynamic collection camera mounted on the piano; the AI intelligent processing system further comprises a personalized learning module, a diversified practice module, an interactive feedback and guidance module and a cloud updating and learning module. The invention relates to the technical field of musical instrument training, in particular to a piano partner training device based on the AI technology, which can provide powerful computing power and learning algorithms, provide personalized and real-time feedback and guidance for piano learners and further improve the training effect of the piano learners.

The systems and methods taught herein are generally directed to facilitating a social network of a group of performers that occurs in a distributed computing environment having remote processing devices linked through a communications network in a streaming audio / video setting, including a dynamic point referencing of an audiovisual performance for an accurate and precise selection and controlled cycling of portions of the performance. The dynamic point referencing can be used by a learning artist, for example, in analyzing or performing a portion of the work through an accurate and precise digital audio / video instructional method having the controlled cycling feature. Such systems and methods will be appreciated, for example, by musicians, dancers, and other enthusiasts of the performing arts.

The invention discloses a music teaching method and system based on a vocal music live classroom, and relates to the technical field of music teaching, and the method comprises the steps: respectively collecting audio signals of a teacher end and a student end in the vocal music live classroom, carrying out the preprocessing, and generating frame-level acoustic feature vectors of teachers and students; based on frame-level acoustic feature vectors of teachers and students, generating a mapping feature vector, category probability and an adversarial sample set through mapping, domain discrimination and a CTC model, constructing a total loss function in combination with a loss function value of the model, and performing iterative optimization, gradient fixed-point rounding and feedback of model parameters; according to the invention, through constructing the total loss function, introducing the gradient inversion layer and the gradient fixed-point rounding mechanism, combining the three-state HMM state path and calculating the pronunciation quality logarithm score, the robustness and precision of student pronunciation evaluation in a vocal music live broadcast teaching scene are significantly improved, and thus a high-resolution teaching feedback basis is provided for teachers.

The invention relates to the technical field of piano pedal control, in particular to a pedal control method and system, the method is applied to a pedal system, the pedal system comprises an external unit and an additional unit, the external unit comprises an external pedal module, and the additional unit comprises a pedal driving module. The treading driving module is used for treading corresponding piano pedals according to the treading data; the external unit comprises a first external unit; correspondingly, the method comprises the following steps: acquiring a first external data source through a first external unit; generating a first analog signal according to the first external data source by adopting a first screening rule; the method comprises the steps that whether a pedal value is larger than a preset first treading threshold value or not is judged; if yes, identifying the pedal value as a to-be-simulated data source; generating a first analog signal according to the to-be-simulated data source; the first analog signal is transmitted to a treading driving module, and the treading driving module responds to the first analog signal to drive a piano pedal. According to the invention, the efficiency of practicing the pedaling technology by the user can be greatly improved.

The invention discloses a song teaching template generation method and system, equipment and a program product. The method comprises the following steps: acquiring song audio information of a target song audio; wherein the song audio information comprises lyrics, lyric timestamps, time points corresponding to paragraphs and audio representation information; performing various intra-sentence teaching feature analysis on the lyric timestamps and the audio representation information of the target song audio, and marking various analyzed intra-sentence teaching features on lyrics; wherein the in-sentence teaching features comprise at least one of accent, treble, long tone, tremolo, gliding and breathing points; the singing difficulty feature comprises at least one of high pitch and long pitch; the skill features comprise at least one of tremolo and glide; on the basis of the time point corresponding to each paragraph and the audio representation information, performing in-segment teaching feature marking on the loudness gradient part of each paragraph in the lyrics of the target song audio; and generating a song teaching template based on the marked lyrics of the target song audio and outputting the song teaching template.

The invention relates to an MIDI cloud music system with intelligent analysis and teaching functions and a teaching method, and relates to the technical field of musical instruments. The system comprises a user terminal module which obtains playing data and uploads the playing data to a cloud end; the cloud server module is used for analyzing the MIDI data and generating feedback information and accompaniment data; the intelligent analysis and feedback module performs analysis according to the playing pitch, rhythm and strength, and generates error correction prompts, playing suggestions and visual comparison data; the automatic arrangement and accompaniment module generates an accompaniment track and an arrangement structure according to the selected music style, rhythm and playing characteristics, and sends the track and the structure to the user terminal module for playing; the personalized teaching management module is used for dynamically adjusting teaching contents and difficulty levels and pushing teaching resources according to the learning progress and the playing level; and the database module is used for storing playing records, intelligent analysis results, automatic arrangement information and personalized teaching resources. The application has the effect of improving the application value of the cloud music system and the user experience.

The invention discloses a music education practice system and a method thereof, and relates to the technical field of education. The system comprises a music score library, a teacher unit, a student unit and a display unit. Wherein the music score library is used for storing online open source music scores; the teacher unit is used for carrying out music score analysis on the music score and splitting the music score into corresponding signal components according to a singing mode and a playing mode to form an original audio; the student unit is used for practicing target music through peripheral equipment and recording by taking the length of each piece of music as a cycle to obtain a practicing audio; and the display unit is used for dynamically displaying the original audio and the practice audio in the form of visual notes, and deducting scores when the original audio and the practice audio have signal inconformity to obtain a final practice scoring result. According to the invention, the user can be assisted to improve the convenience of music practice.

The utility model discloses an interactive display device for a piano mechanical structure, and relates to the technical field of music education. The device comprises a key model structure, a pedal interaction structure and an audio-video playing unit. The key model structure comprises keys, supporting pieces, ejector rods, hammers and strings, one ends of the keys are connected with one ends of the ejector rods, the other ends of the ejector rods are connected with the hammers, and the striking direction of the hammers faces the strings; the pedal interaction structure comprises a pedal and a treading sensing unit, the downward pressing direction of the pedal faces the other end of the key, and the treading sensing unit is used for sensing the treading action of the foot of the human body on the pedal; and the audio-video playing unit is connected with the treading sensing unit and is used for playing a piano internal structure display video. According to the utility model, the interactive experience can be improved, the learning interest and participation sense of audiences are enhanced, and the complex mechanical principle of the piano becomes easy to understand and memorize, so that the effects of music education and musical instrument display are improved.

The invention discloses a virtual reality interactive music teaching system based on a scene teaching method. The method comprises the following steps: dynamically adjusting the content pushing sequence and opportunity of a teaching scene based on real-time feedback data of a student; creating a virtual reality environment to simulate different music scenes and introducing interactive elements; a multi-level teaching resource library is provided to match the requirements of different learning stages; and a personalized guide prompt is triggered to enhance the understanding and participation sense of the trainee. Through the scheme, the problem of how to intelligently regulate and control the content pushing sequence and time of the teaching scene so as to solve the problem that the course progress is not matched with the understanding degree of students can be solved.

A children's toy with touch interactivity. The children's toy generally includes a user input panel and one or more touch sensors. The user input panel may be formed from a natural organic material such as wood. The toy can be shaped and ornamented to resemble a toy tablet with buttons or icons incorporating images of one or more animals and configured to play animal sounds or information about the animals in response to user input applied to the user input panel and sensed by the touch sensors.

The present invention relates to a device to make a musical instrument learning easier, in particular a string instrument such for example a guitar or electric bass, and its respective method of usage. The device is configured to provide at the same time indications relating both to rhythmics and to the notes to be played, as well as to provide indications relating to the execution of arpeggio, and needed to play the various notes in a certain anticipation with respect to the moment in which each note has to be played, and by means of a luminous and chromatic sequence such that the user can optimize the reception of the information and, so, can learn faster.

The invention discloses an AI-based piano practice assisting method, system and equipment and a medium, and the method specifically comprises the steps: carrying out the denoising and segmentation of sound data through employing a signal processing technology, extracting the finger key time sequence characteristics of motion data through employing a motion recognition algorithm, and obtaining a sound feature set and a motion feature set; based on the sound feature set and the action feature set, performing multi-dimensional analysis by adopting a bimodal Transform evaluation network to obtain a first evaluation score; acquiring emotional expression data of the learner during piano playing, and analyzing and processing the emotional expression data according to a preset emotional analysis model to obtain an emotional analysis result; and according to the first sentiment analysis result and the first evaluation score, a deep learning algorithm is adopted to classify playing styles and weak links of the learner, and a personalized improvement direction and a priority sequence are determined. According to the invention, comprehensive playing evaluation and sentiment analysis are provided for learners, and the efficiency and pertinence of piano practice are effectively improved.

The systems and methods taught herein are generally directed to facilitating a performing arts contest in a distributed computing environment having remote processing devices linked through a communications network in a streaming audio / video setting, including a dynamic point referencing of an audiovisual performance for an accurate and precise selection and controlled cycling of portions of the performance. The dynamic point referencing can be used by a learning artist, for example, in analyzing or performing a portion of the work through an accurate and precise digital audio / video instructional method having the controlled cycling feature. Such systems and methods will be appreciated, for example, by musicians, dancers, and other enthusiasts of the performing arts.

The invention belongs to the technical field of music teaching, and discloses a music score recognition plate for music teaching, which comprises a music score recognition plate main body, a bracket mechanism mounted outside the music score recognition plate main body, a protection mechanism mounted outside the music score recognition plate main body, a music score plate fixed outside the music score recognition plate main body, and a swing mechanism arranged inside the music score recognition plate main body. According to the music score recognition device, through cooperation of a first connecting rod, a connecting piece and an indicating plate structure, the marked music score magnetic attraction blocks can be attracted to the interior of a mounting strip, a user can position the positions of each group of the music score magnetic attraction blocks through an observation window, and the music score recognition device is convenient to use and high in practicability. When the rack moves, the connecting piece can be driven to rotate through the teeth, so that different note magnetic attraction blocks can be observed when the observation window rotates along with the connecting piece and the indicating plate, notes marked on each group of note magnetic attraction blocks are different, and the purpose of improving the music score recognition ability of the device and exercising students is achieved.

The invention relates to the technical field of voice analysis, and particularly discloses a vocal music training method and system based on artificial intelligence, and the method comprises the steps: collecting and analyzing the body posture parameters of a target vocal music training person, carrying out the preprocessing, detecting the posture abnormality, forming a first abnormal training set, capturing and analyzing the pronunciation feature parameters, and recognizing the pronunciation abnormality, thereby obtaining a vocal music training result; and integrating the first abnormal training set and the second abnormal training set to generate a total abnormal parameter training set, matching a correction set, and visually displaying the body posture abnormal degree and the abnormal reason and the pronunciation abnormal degree and the reason, so that the target vocal music training personnel can visually see own posture and pronunciation problems, and self-adjustment and correction are facilitated.

The invention relates to the technical field of automatic pedal accompaniment, in particular to a method and system for inserting pedal data in a playing file. The method comprises the following steps: identifying change nodes generating chord changes in a music score file; selecting at least one change node as a first insertion node; acquiring pedal data corresponding to the first insertion node, and identifying adjacent basic information of the first insertion node as an index array; searching a matching event group matched with the index array in the playing file; setting a second insertion node in the playing file according to the position of the matching event group; and inserting the pedal data into the second insertion node. Automatic pedal accompaniment can be provided for a user, the problem that part of players cannot step on pedals in the playing process is solved, meanwhile, the requirement that part of players want to quote pedal data of other people for accompaniment can be met, and therefore the playing difficulty is greatly reduced, and the playing effect is improved.

The invention relates to the field of piano intelligent display, in particular to a data set display method, system and device and a medium. The music score data comprises one or more of the following: standard time values, standard strength, standard fingering and standard pitches corresponding to the plurality of notes; the playing data of the user are obtained, the playing data of the user comprise data sets at multiple moments, and the data sets comprise one or more of the following data: time value data, force data, fingering data and pitch data; judging whether at least one data group is matched with the corresponding music score data or not; if yes, correlation comparison is carried out on the music score data and the matched data set, and the difference degree is calculated; and displaying the music score, and displaying the associated data group in a region corresponding to the notes. According to the playing data display method provided by the invention, visual optimization can be realized on the basis of ensuring the integrity of playing parameters.

The invention relates to the field of language training, and discloses a voice auditory language training method and system based on artificial intelligence, and the method comprises the steps: obtaining a preset language training scheme of a trainee, controlling a voice collection device to carry out pre-training based on the preset training scheme, and obtaining the actual voice data generated by the trainee in the pre-training process; and determining a preset voice model which the trainee should reach in the training process, evaluating the pronunciation quality of the trainee according to the actual voice data and the preset voice model, and generating a first evaluation result or a second evaluation result. According to the method and the device, a personalized training adjustment scheme can be generated for each trainee by acquiring the actual voice data of the trainee and comparing and analyzing the actual voice data with the preset voice model, the pronouncing characteristics of each trainee are considered in the scheme, accurate optimization can be carried out according to the difference of the pronouncing quality, and the training pertinence is enhanced.

Methods and systems are disclosed to facilitate creating the sensation of vibrotactile movement on the body of a user. Vibratory motors are used to generate a haptic language for music or other stimuli that is integrated into wearable technology. The disclosed system in certain embodiments enables the creation of a family of devices that allow people such as those with hearing impairments to experience sounds such as music or other input to the system. For example, a “sound vest” or other wearable array transforms musical input to haptic signals so that users can experience their favorite music in a unique way, and can also recognize auditory or other cues in the user's real or virtual reality environment and convey this information to the user using haptic signals.