26 results about "Repertoire" patented technology

The invention relates to the technical field of music information management, in particular to a flute ethnic music library construction method and system, and the method comprises the following steps: obtaining flute track audio data, dividing paragraphs according to a time axis, extracting a tone waveform change track, carrying out the cumulative statistics of tone turning, intercepting melody main line information, and recognizing the rising and falling and continuous changes of musical scales. Defining path nodes, marking melody structures, comparing timbre fluctuation segments, recording style change positions, and generating style music library field combinations. According to the method, the audio data of the flute track is finely divided, the tone waveform change is counted, the key tone change in the track is captured, and the node division is performed through the directivity of the musical scale trend, so that the multi-dimensional visualization of the information is increased, and the structural characteristics of the melody are clearer; and national style sample tracks are called for structure comparison, and fragments with consistent styles are counted, so that the convenience and efficiency of searching and identifying specific style tracks by a user are greatly improved.

The invention discloses an intonation adjusting method and device, a product and a medium, and relates to the technical field of audio signal processing. In the method, a standard pitch sequence is determined based on a target singing track; acquiring an audio signal and a breathing waveform signal; determining an actual pitch sequence based on the audio signal; determining breath support strength based on the breath waveform signal and the audio signal; determining an unstable interval based on the breath support strength; determining the variation trend of the pitch frequency in the unstable interval; calculating pitch change rates of adjacent time points; determining a pitch deviation value based on the actual pitch sequence and the standard pitch sequence; when the absolute value of the pitch deviation value exceeds a preset deviation threshold value, the change trend presents a monotone increasing or monotone decreasing trend, and the pitch change rate is smaller than a preset rate threshold value, determining a pitch compensation parameter; and adjusting the audio signal according to the pitch compensation parameter to obtain a compensated audio signal. The method has the effect of improving the accuracy of intonation adjustment.

The present application provides a multimodal interactive piano teaching and training system, which relates to the technical field of piano teaching and training. The system performs collaborative fitting on the reciprocating motion trajectory to obtain the collaborative contraction rules of the player's fingers on the piano keyboard. The fingering control labels during fingering rhythm synchronization are determined according to the collaborative contraction rules, and then the fingering control labels are used to guide the fingering decision attributes during playing by tactile paths; the rhythm synchronization data and dynamic playing information are cross-compared to obtain the rhythm deviation identifier during music style conversion, and then the beat timing spacing during playing is auditory perceptually regulated by the rhythm compensation constraint; the fingering decision attributes after tactile path guidance and the beat timing spacing after auditory perceptual regulation are interactively fused to generate a playing manifold of an unseen piece of music and project it onto the key surface in real time. The present application can form real-time guidance for piano teaching in multimodal interactive fusion teaching to improve the player's training adaptability.

The present application relates to the technical field of music information management, in particular to a flute national style music library construction method and system, comprising the following steps: acquiring flute music audio data, dividing paragraphs according to time axis, extracting timbre waveform change track, accumulating and counting timbre turning point, intercepting melody main line information, identifying scale ascending and descending and continuous change, defining path node, labeling melody structure, comparing timbre fluctuation section, recording style change position, and generating style music library field combination. In the present application, the audio data of the flute music is carefully divided and the timbre waveform change is counted, the key timbre change in the music is captured, the node is divided through the directionality of the scale trend, not only the multi-dimensional visualization of the information is increased, but also the structural characteristics of the melody are more clear, the national style sample music is called to compare the structure, and the consistent style segment is counted, which greatly improves the convenience and efficiency of the user to search and identify the specific style music.

This application provides a coordinated feedback-integrated drum music teaching method, which includes: calculating the user's human biological index, human psychological parameters, and physiological stress index; constructing a user feature profile based on the human biological index, human psychological parameters, and physiological stress index; matching the user feature profile with a constructed drum music repertoire library to select drum music repertoire matching the user; and generating a drum music teaching plan for the user based on the selected drum music repertoire. This solution achieves comprehensive quantification of the user's state through multi-dimensional index calculation, systematic integration of environmental factors based on dynamic profile construction, and targeted adaptation of teaching objectives through a precise matching mechanism. It fundamentally solves the problems of insufficient matching accuracy, poor environmental adaptability, and vague teaching objectives in existing technologies, providing an innovative technical path for drum music teaching that integrates biomedical indicators, psychological characteristics, and environmental stress theory.

This invention discloses an automated assessment method for the completeness and proficiency of instrumental performance in graded examination pieces. The method includes: a standard model construction step for the graded examination pieces; a multimodal performance data acquisition step; a completeness assessment step; a proficiency assessment step; and a graded scoring and diagnostic report generation step. Based on preset weights for each grade level, the completeness score and proficiency score are integrated to generate a total graded examination score, and a diagnostic report containing multidimensional assessment indicators and technical obstacle annotations is output. This invention relates to the field of music education technology. It dynamically adjusts the weights of completeness and proficiency according to the grade level, ensuring that the scoring logic aligns closely with teaching principles. It accurately identifies technical weaknesses and provides visual feedback and practice suggestions, enabling the assessment system to also possess teaching assistance functions. The unified technical framework is compatible with four major instrument categories: keyboard, plucked, bowed, and wind instruments. It employs a low-cost audio and video acquisition scheme, requiring no instrument modification and possessing the feasibility for large-scale promotion.

The invention discloses an intelligent musical instrument teaching method and device, and relates to the technical field of intelligent musical instruments, and the method comprises the steps: initializing an intelligent musical instrument based on a teaching track identifier and a tuning parameter selected by a user; determining an evaluation dimension according to the teaching track identifier and the tuning parameter; in response to communication network interruption, dual-mode Bluetooth is started to connect the initialized intelligent musical instrument, and then multi-source sensor data in a target time period is acquired from a storage management layer of the intelligent musical instrument through a main channel based on a target error rate, a target session data weight and a preset data verification mechanism; extracting evaluation features in the multi-source sensor data based on the evaluation dimension; matching the evaluation features with standard error features, and determining an error pattern in response to the matched standard error features; and triggering and executing multi-mode feedback, and prompting playing correction data corresponding to the error mode. The musical instrument teaching effect is improved.

The application discloses a multi-mode audio scoring method, comprising the following steps: receiving a scoring mode starting instruction, determining a target scoring mode requested currently, detecting an enabling state of the target scoring mode and a working state of a corresponding audio input device according to the target scoring mode; when the target scoring mode is in the enabling state and the corresponding audio input device is in an available state, automatically controlling audio routing to switch to an audio input channel corresponding to the target scoring mode, shielding an audio input channel of a non-target scoring mode at the same time; and collecting real-time audio data of the current audio input channel; calling independent scoring logic matched with the target scoring mode, comparing the real-time audio data with pre-stored corresponding track standard audio reference data, generating real-time scoring information and outputting and displaying; the application realizes coexistence and operation of multiple audio scoring modes such as musical instrument scoring and K song scoring on a same intelligent sound box hardware platform, and solves the defect that a single device can only support one scoring mode in the prior art.

We provide a performer matching system and program that enables real-time remote performance after objectively evaluating the skills of fellow performers. [Solution] The performer matching server 1 registers conditions such as the genre of performance and the part of the instrument to be played, has the performer play practice pieces extracted from the genre and part, or selected pieces chosen by the performer, and collects the results from the user terminal 2. It also determines the performance level from the performance record during online performances and registers the performer's evaluation in the storage unit 12. The system searches for performer registration data to find collaborators, registration data of other performers (collaborators) that match the performance level, searches for collaborators by performance level, starts online performance if the performer and collaborators are able to perform in real time, and adjusts the schedule for online performance if they are not able to perform in real time.

A set of music tracks associated with a user request is identified. The set of music tracks and a prompt associated with the user request are processed to generate a musical composition of a new content item. One or more musical instruments used to perform the set of music tracks are identified based on analysis of the set of music tracks. An audio version of the musical composition of the new content item is generated based on the one or more musical instruments.

The invention discloses a traditional theatre intangible cultural transmission platform, which is based on big data processing and Internet architecture, is fused with multi-terminal interaction equipment, and realizes digital management, transmission and experience of traditional theatre intangible cultural heritage. The overall structure of the platform is divided into a user entrance layer, a platform function layer, a data support layer and an application support layer. The user entrance layer supports access of three types of identities, namely a non-repertoire-leaving institution, a common user and a platform manager; the platform function layer comprises a user module, a display module, an experience module, a resource management module and a transaction module; the data support layer provides a unified traditional theater database, a metadata model and a content distribution interface to ensure that the content structure of the platform is clear and the calling is efficient; and the application support layer realizes flexible deployment and expansion of platform functions in scenes such as a mobile terminal, an AR terminal and an education system. The multi-dimensional interaction enhances the participation and understanding of the user on the traditional drama, promotes the activation inheritance and wide propagation of the traditional drama, and improves the social influence and contemporary expressive power of the non-abandoned culture.

The invention relates to the technical field of musical instrument intelligent control, and discloses a musical instrument accompaniment track playing control method, device, equipment and medium, and the method comprises the steps: collecting temporary playing audio data of a user through a sound collection unit in real time or at regular time after receiving an accompaniment track acoustic feature intelligent control instruction sent by the user; performing acoustic feature analysis on the collected temporary playing audio data to obtain multi-dimensional acoustic features, and analyzing playing parameters of an audio playing unit according to the obtained multi-dimensional acoustic features; and after a formal playing start instruction sent by the user is received, the audio playing unit is controlled to play the accompaniment track based on the analyzed playing parameters. The accuracy of accompaniment track playing control and the adaptability of accompaniment track playing matching in the fixed mode are improved.

The invention relates to the field of piano music score accessories, in particular to a folding music score fixing device for piano playing, which comprises a piano music score self-page-turning assembly, and a music score fixing assembly is detachably connected to the front end of the piano music score self-page-turning assembly. The reset spring drives the extension plate to be pushed out to complete unfolding, the base is pushed to reset during folding, rapid operation can be achieved, and the folding device is compact and easy to carry after being folded; the automatic page turning needs to be performed after being unfolded to fix the music score without turning, the music score to be turned is fixed on the two L-shaped brackets and is realized by driving the brackets to turn through the driving mechanism, manual page turning is not needed, continuous playing is ensured, magnetic attraction fixation is stable, and the music score is adaptive to multiple pages of tracks; the angle of the adjustable anti-scratching adsorption device is adjusted through the angle adjusting shaft and the bendable component, the rotary knob is rotated to enable the adjustable anti-scratching adsorption device to be tightly adsorbed to the piano after the position of the suction cup is adjusted, multi-angle adjustment can be achieved to meet the requirement, scratching is prevented, and adsorption is stable.

A method of determining relations between music items, wherein a music item is a submix of a musical composition comprising one or more music tracks, the method comprising determining a first input representation for at least part of a first music item, mapping the first input representation onto to one or more subspaces derived from a vector space using a first model, wherein each subspace models a characteristic of the music items, determining a second input representation for at least part of a second music item, mapping the second input representation onto the one or more subspaces using a second model, and determining a distance between the mappings of the first and second input representations in each subspace, wherein the distance represents the degree of relation between the first and second input representations with respect to the characteristic modelled by the subspace.

The application discloses a detachable musical note indicating patch for AI identification and belongs to the field of teaching aids. The detachable musical note indicating patch comprises a fixed frame, the lower surface of the fixed frame is provided with a magic subpatch, the lower surface of the magic subpatch is attached with a magic master patch, and the lower surface of the magic master patch is provided with sticky glue. The detachable musical note indicating patch breaks through the limitation that the traditional integral patch cannot be detached and displaced, can be randomly detached and adjusted according to the actual distribution position of musical notes, can adapt to the AI music score identification requirements of different versions and different music scores, and has high scene adaptability. Meanwhile, the structure can realize repeated cyclic use of the product, and effectively reduces the use cost of the auxiliary equipment for music AI intelligent score identification.

The invention provides a piano multi-modal generation method and system based on a large language model, and belongs to the technical field of artificial intelligence music generation, and the method comprises the following steps: a multi-modal coding step: coding texts, humming, images and reference tracks; a cross-modal alignment mapping step, wherein heterogeneous input is uniformly mapped to a music semantic space through an attention mechanism; an intention understanding step: analyzing a creation intention by fine tuning the large language model; a symbol sequence generation step: generating a symbol sequence containing complete playing information by adopting piano dedicated Transform autoregression; according to the method, the problems that in the prior art, an input mode is limited, intention understanding is lacked, and generation speciality is insufficient are solved, and intuitive piano creation of zero-music basic users and efficient inspiration implementation of professional creators are supported.

This application relates to a method and system for personalized teaching path planning for dance learners. The method includes: performing multimodal feature mapping based on the user's dance performance test data and physiological baseline data to obtain a dual-state profile of the user; extracting biomechanical features from demonstration movement data in a dance repertoire library to obtain a repertoire feature matrix; constructing a dance knowledge graph based on the dance repertoire library, standard movement specification library, and skill teaching syllabus; calculating collaborative filtering scores based on the user's dual-state profile, the repertoire feature matrix, and the dance knowledge graph to obtain a repertoire suitability set; and performing multi-objective path planning on the repertoire suitability set based on preset path planning constraints to obtain a personalized teaching path. This method can balance physiological safety with the coherence of teaching logic, generating a scientifically efficient personalized dance teaching path.

The invention relates to the field of intelligent playing, in particular to a playing data processing method and device and a storage medium. The method comprises the steps of obtaining a playing music score and collecting playing data in real time; based on the playing music score and the playing data, music score fragments repeatedly played by the user are identified, fragment playing data of the music score fragments and a playing data sequence are segmented and independently stored, and corresponding playing records are obtained; generating a playing record list based on the playing records, and confirming and marking an optimal recommended playing record in the playing record list based on the splicing friendly index; in response to a selection operation of a user, determining at least one target playing record from the playing record list; and splicing the fragment playing data associated with the target playing record with the playing data sequence to obtain a complete playing audio. Therefore, the user can obtain the playing result for sharing or self-review without perfectly playing the whole track at one time, and the interestingness and achievement sense of practice are effectively improved.

A body is a seven-hole body, a fifth sound hole is formed below a first sound hole in the front face of the seven-hole body, a sixth sound hole and a seventh sound hole are formed in the back face of the seven-hole body, the fifth sound hole and a fourth sound hole form a large second-degree interval relation, and the sixth sound hole and the fifth sound hole form a small third-degree interval relation; or the body is an eight-hole body, a fifth sound hole is formed below the first sound hole in the front surface of the body, a sixth sound hole is formed below the third sound hole, a seventh sound hole and an eighth sound hole are formed in the back surface of the body, and the fifth sound hole and the fourth sound hole form a large second-degree interval relationship. According to the invention, on the basis of not changing the tone quality of the traditional ocarina and Xun, the range of the seven / eight-hole ocarina and Xun is greatly expanded, the musical scale is broken through from 9 to 11 to 12 or 13, and the playing range of the seven / eight-hole ocarina and Xun is expanded. Accordingly, a corresponding use method is also established, the ocarina and Xun playing range is wide, the little finger is prevented from participating in hole pressing, and the ocarina is convenient to hold by hand and open and close by fingers.

The invention provides a music game method, device and system, electronic equipment and a storage medium. Game configuration information (including target range space configuration information, target energy body configuration information and target associated musical instrument configuration information) of a current music track is determined, and interaction is performed based on notes, hand positions and finger actions; according to the method, unified modeling and synchronous visualization of the music multi-dimensional parameters are realized, the problems of single dimension, audio-visual disjunction and low interaction efficiency in the prior art are effectively solved, unified modeling and synchronous visualization can be performed on the music multi-dimensional parameters, accurate space interaction is supported, and immersion of user experience and music education value are effectively improved.

A music box comprises a control unit, a plurality of driving units and a plurality of sound production units, the control unit comprises a first controller and a second controller, the first controller comprises signal output ends with the same number as the driving units, and the second controller comprises signal input ends with the same number as the driving units; the signal input end of each driving unit is connected with the signal output end of the second controller, the sound production units are in one-to-one correspondence with the driving units, and the driving units act to make the sound production units produce sound. Motor control and logic processing are decoupled, and when a track needs to be changed, only a track program needs to be edited according to notes and rhythms, so that the programming difficulty is reduced; the driving device and the sounding device are separately arranged to facilitate maintenance; the single pitch assembly of the modularized sound production unit can be replaced independently to support different musical scale expansion. The driving unit actuates to enable the sound production unit to produce sound to simulate actuation of a traditional music box to produce the same timbre as the traditional music box.

The present application provides a chord prediction method, system, computer readable storage medium and musical instrument. The chord prediction method comprises: reading note information of a playing music when the music is to be played; the note information comprises note states corresponding to time sequences; detecting whether a specific time point of the music is played; if yes, predicting a chord state of a current time point according to a chord state output at a previous time point and a note state played at the current time point; and if no, continuing to detect whether the specific time point of the music is played. The present application can automatically predict a reasonable and melodious chord background for a user in real time when the user plays or sings a melody, greatly reduces the threshold of tasks such as accompaniment, composition and creation of electronic organs and other musical instruments with automatic accompaniment function, and improves the use experience of the musical instrument.

The invention relates to the technical field of computer-aided teaching, discloses a piano music expression teaching method and system based on emotion calculation, remarkably improves scientificity and effectiveness of piano music emotion expression teaching, effectively solves the problem that art intentions are difficult to quantitatively teach in traditional teaching, and improves the teaching efficiency. By constructing a music semantic association network fused with music theory logic, the system breaks through a semantic gap between an abstract music text and a specific acoustic signal, realizes accurate mapping from a recessive emotional artistic conception to a dominant playing technique, and utilizes a cross-modal joint semantic space and a reverse parameter analysis technology to realize accurate mapping of the music semantic association network. According to an emotion background of a target track, a high-dimensional artistic concept can be automatically decoupled into executable physical control parameters such as key touch force and time value deviation, and personalized guidance with clear operation directivity is provided for students.

A system is provided.SOLUTION: A system comprising: means for accepting audio input; means for analyzing audio data and extracting intervals and rhythms; means for constructing a melody from the extracted intervals and generating a key and a chord progression; means for generating a rhythm pattern based on the generated melody, key, and chord progression; and means for playing an arranged music track.SELECTED DRAWING: Figure 1

The utility model discloses a portable foldable music stand, and relates to the technical field of music playing accessories. The music stand comprises a support I, and further comprises a folding part which is arranged on the support I and is used for folding and storing the music stand; the number of the widening parts is two, and the two widening parts are both arranged on the first support; the number of the fixing parts is two, and the two fixing parts are both arranged on the broadening part; wherein the folding part is used for folding the music stand, so that the music stand is convenient to store, the two widening parts are used for widening the width of the music stand, and the two fixing parts are used for fixing the two widening parts, so that the music stand is prevented from loosening in the using process. According to the portable foldable music stand, the widening part is arranged, so that the problems that the width of the existing portable foldable music stand is inconvenient to widen in the use process, a plurality of pages of music scores are difficult to spread flatly when facing long tracks, the rhythm is easy to disrupt and the performance fluency is influenced due to frequent page turning of a player are solved.

The invention belongs to the technical field of data processing, and discloses an intelligent recommendation method and system based on a vocal music teaching platform, and the method comprises the steps: collecting multi-modal user data; the multi-modal user data comprises user singing audio data and singing track preference data; performing pre-emphasis and pitch period evaluation on user singing audio data through a pitch trajectory tracking algorithm to obtain a pitch frequency; extracting the Mel-frequency cepstrum coefficient of the audio data sung by the user by adjusting the smoothing coefficient, and obtaining a tone feature vector of the user; splicing the fundamental tone frequency and the user timbre feature vector to obtain technical performance data; performing K-Means clustering grouping on the singing track preference data to obtain emotion demand data; based on the technical performance data and the emotion demand data, constructing a user portrait by using a cross-modal attention mechanism algorithm; the objective of the invention is to provide vocal music teaching resources better meeting actual demands for users.