65 results about "Beat (music)" patented technology

The invention discloses a VEM-Token beat capture and alignment model construction method, which is a deepening innovation that a vocal music file is segmented into VEM-Token lexical elements by adopting music beats based on a VEM-Token vocal music emotion multi-modal model method. The core of the method is to establish a rhythm model, a rhythm capture model and a rhythm alignment model of a vocal music file, the rhythm model separates singing sound, accompaniment sound and emotional fluctuation from a sample vocal music file through multiple filters and captures a start point and an end point of a rhythm in a frequency spectrum format file, and the rhythm alignment model performs rhythm alignment on the vocal music file through a start point fine tuning model and an end point fine tuning model. And the user imitation file and the sample file are enabled to complete beat alignment. Models including a rhythm basic model, harmonic impact, joint learning, harmonic frequency layering, dynamic time warping and the like are adopted to capture rhythms, and models including the basic model, starting point fine tuning, terminal point fine tuning, whole-course alignment verification, a rhythm editor, rhythm free playing, repeated alignment, a communication interface protocol and the like are adopted to construct. Therefore, the method is suitable for accessing an Agent music agent and an AI music application.

The invention provides a dance video generation method based on multi-mode music driving and frequency domain-space double-flow decomposition, and the method comprises the steps: extracting multi-granularity music features through a composite encoder (Librosa + Jukebox), employing a beat gating attention mechanism, enabling the key actions such as dancing hand raising, kicking and the like to be strictly aligned with a music re-beat point, and enabling the synchronization error to be reduced to 118 ms through the verification of a test data set; for the problem of visual detail loss, a frequency domain-space double-flow decomposition architecture is provided, a Butterworth filter bank is used to decouple a reference image into a low-frequency energy diagram and a high-frequency residual error, and a double-flow diffusion mechanism is used to optimize a global attitude and local details respectively; a joint confidence prediction module is introduced for the generation stability in a shielding scene, and the motion trail of an abnormal joint point is dynamically corrected through a time domain sliding window weighted fusion strategy, so that a reasonable action conforming to ergonomics can still be generated under a 50% limb shielding rate.

The invention relates to the technical field of artificial intelligence and multimedia interaction, and discloses an AI music rhythm-based dance movement real-time generation system, which comprises a music rhythm extraction module used for extracting rhythm time and intensity characteristics of input music and generating music rhythm distribution; the dance movement generation module generates initial dance movement distribution according to the extracted music rhythm distribution and is used for generating the initial dance movement distribution based on a pre-trained deep learning model; and the dynamic synchronization module is used for calculating a mapping relation between music rhythm distribution and dance movement distribution through a dynamic optimal transmission method. According to the technical scheme, dynamic optimal transmission and variational optimization are combined, the technical effect of high-precision alignment of actions and music rhythms is achieved by optimizing the synchronization relation between music rhythm distribution and dance action distribution, the problem of mismatching of actions and music in a complex music rhythm change scene is solved, and the accuracy of the movement and the music is improved. And the dancing action is more natural and smoother.

The present application discloses a method, device, equipment, storage medium and program product for generating music accompaniment, and relates to the field of computer technology. The method comprises: obtaining music data; extracting music information from the music data to obtain beat data information, chord data information and melody data information; using the melody data information as a generation restriction condition for the music accompaniment, and generating music accompaniment data through the beat data information and chord data information; rendering audio data based on the music accompaniment data to obtain the music accompaniment corresponding to the music data. In the above manner, it is possible to quantize the music beat and music notes, incorporate the beat and chord into the accompaniment melody generation process within the limitation of the music melody, so that the music accompaniment data can be presented more meticulously through music parameters, thereby improving the generation stability and generation effect of the music accompaniment. The present application can be applied to various scenarios such as music accompaniment generation.

The teachings described herein are generally directed to a system, method, and apparatus for separating and mixing tracks within music. The system can have a video that is synchronized with the variations in the musical tempo through a variable timing reference track designed and provided for a user of the preselected performance that was prerecorded, wherein the designing of the variable timing reference track includes creating a tempo map having variable tempos, rhythms, and beats using notes from the preselected performance.

The invention provides a multi-mode interactive piano teaching and training system, and relates to the technical field of piano teaching and training, and the system carries out the cooperative fitting of a reciprocating motion track, obtains a cooperative contraction rule of a finger of a player on a piano keyboard, determines a fingering control label during the fingering rhythm synchronization according to the cooperative contraction rule, and carries out the fingering control. The fingering control label is used for carrying out tactile path guidance on the fingering decision attribute during playing; performing cross comparison on the rhythm synchronization data and the dynamic playing information to obtain a rhythm deviation identifier during music style conversion, and further performing auditory perception regulation and control on a beat point time sequence interval during playing through rhythm compensation constraint; and carrying out interactive fusion on the finger moving decision attribute after tactile path guidance and the beat point time sequence interval after auditory perception regulation and control, generating a playing manifold without a track, and projecting the playing manifold to the surface of the key in real time. According to the method and the device, real-time guidance of piano teaching can be formed in multi-modal interactive fusion teaching, so that the training adaptability of a player is improved.

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 belongs to the field of program control, and particularly relates to a music fountain intelligent control method and system. The method comprises: obtaining real-time state data of a music fountain system and audio data of music to be played, framing the music audio data and extracting the composite acoustic characteristics of each frame to obtain future music characteristics in a target prediction time domain; at each control sampling time, calculating a target terminal state according to the beat strength and the harmonic feature of the future music characteristics, obtaining a terminal invariant set centered on the state as a terminal constraint; constructing a performance target function, combining the transient change rate of the future music characteristics and the harmonic entropy adjustment function to adjust the weights of the punishment water type change rate and the state deviation; online solving an optimal control problem of minimizing the target function under the terminal constraint to obtain a control sequence for driving the water pump and the valve. The present application can balance the smoothness and fluency of the waterscape and the dynamic expressiveness of the music, and improve the overall artistic effect of the music fountain.

Embodiments of the present application disclose an audio processing method, a model training method and device, equipment, a storage medium and a product. The audio processing method comprises: in the embodiments of the present application, obtaining a rhythm condition vector corresponding to a motion video to be matched with music and reference chords of the motion video, performing beat dimension noise reduction processing on noise data based on the rhythm condition vector to obtain a predicted beat of the motion video, performing chord dimension noise reduction processing on the noise data based on the rhythm condition vector and the reference chords to obtain a predicted chord of the motion video, and fusing the predicted beat and the predicted chord to obtain music matched with the motion video. It can be seen that the beats and chords of the music are respectively subjected to noise reduction processing through different constraint conditions, the prediction process of the music can be decoupled, the prediction process of the beats and chords is more targeted, and thus the quality of the music matched with the motion video is improved.

The invention relates to a preschool education enlightenment metronome for music teaching, and the metronome is provided with a beat display part which comprises a hollow stand column, the stand column is internally provided with a sliding body and an electromagnet from top to bottom, the sliding body is vertically installed in the stand column in a sliding manner through guide blocks at two sides, and the stand column is internally connected with a first pressing sounder through a suspension coil spring. A magnet is installed in the sliding body, an electromagnet is clamped and fixed below the supporting ring through a pair of threaded rings, and the lower end of the lower supporting ring is connected with a second pressing sounder; a piston rod is coaxially fixed at the upper end of the sliding body, and a connecting rod is coaxially fixed at the lower end of the sliding body; a cross-shaped part is axially inserted into a top end opening of the stand column, and the two ends of the cross-shaped part are each provided with an elastic rubber sheet capable of expanding and deforming towards the outer side; after the electromagnet is electrified, three-gear magnetic force can be achieved, the sliding body is pushed to move upwards by different positions, different sound effects and actions are triggered, and the effect of rhythm sound and visual double experience is achieved.

The invention belongs to the technical field of health-preserving physiotherapy, and particularly relates to a beating machine based on drum-method health-preserving physiotherapy and a control method. The beating machine comprises a control assembly and a beating assembly connected with the control assembly; the control assembly comprises a storage unit, a processing unit and a judgment unit. The storage unit stores a plurality of beat signals used for drum-method health-preserving physiotherapy music tracks. The judgment unit is used for outputting the beat signal of the drum health-care physiotherapy music track which is stored in the storage unit and matched with the drum health-care physiotherapy music track selected by the user to the processing unit; the processing unit is used for converting the beat signal output by the judging unit into a driving signal for controlling the beating assembly to execute beating; the beating assembly comprises a driving unit and an execution unit connected with the driving unit, and the driving unit drives the execution unit to beat according to the driving signal; therefore, the technical defect that an existing flapping machine can only achieve the basic flapping function and cannot achieve cooperation between rhythm and flapping of music beats is overcome.

The invention provides an automatic composition and mirror movement control method for team dance live broadcasting, and relates to the technical field of intelligent broadcasting direction.The method comprises the steps that by taking music-dance-camera cross-modal alignment as the core, firstly, time sequence synchronization and feature extraction are conducted on audio rhythms and group action videos of a live broadcasting site; mapping to a unified hidden space to obtain an interpretable composition / operation mirror intention; then the intention is decoded into a continuous target camera pose track, the continuous target camera pose track is mapped into a joint instruction of executing mechanisms such as a rocker arm / a cradle head through inverse kinematics containing limitation, speed and acceleration constraints, and meanwhile the motion impression is guaranteed through a beat synchronization smoothing strategy; and finally, a closed loop is formed through sensor return, online compensation is carried out on the pose error, and the control weight and the execution scale are adjusted in a self-adaptive mode, so that the stable automatic mirror moving effect which is prominent in main body, standard in composition, smooth in movement and safe and compliant is stably output under the complex formation and strong rhythm changes of different stages and array scales.

This invention relates to the technical field of rehabilitation assistive devices, and more specifically, to a music-assisted intelligent rehabilitation training method and system for hemiplegic patients. The training method includes the following steps: collecting the patient's bio-signal data; processing the bio-signal data using a cross-modal graph attention fatigue model to obtain a fatigue level; matching the beat value of assistive music according to the fatigue level; selecting and playing corresponding music based on the beat value; controlling the movement of the rehabilitation device based on a beat-motor coupling model and a music-motor frequency synchronization scoring model; and collecting and analyzing the patient's bio-signal data during rehabilitation training in real time, and performing feedback control. This invention has a preset music database containing various types of music, and labels each piece with a corresponding fatigue level based on its beat. This invention aims to improve the accuracy of rehabilitation assessment, enhance the patient's initiative in rehabilitation training, increase training duration, and improve rehabilitation effectiveness.

A music accompaniment generation method and apparatus, a device, a storage medium and a program product, relating to the technical field of computers. The method comprises: acquiring music data (210); extracting beat data information, chord data information and melody data information from the music data (220); generating music accompaniment data on the basis of the melody data information, the beat data information and the chord data information (230); and executing audio data rendering on the basis of the music accompaniment data to obtain a music accompaniment corresponding to the music data (240). In this way, music beats and music notes can be quantized, and the beats and chords are incorporated into an accompaniment melody generation process within the limitation of the music melody, so that music accompaniment data can be presented more precisely by means of music parameters, thereby improving the generation stability and the generation effect of music accompaniments. The present application can be applied to various scenarios such as music accompaniment generation.

A device to determine a number of beats per bar from a music data includes at least one processor configured to calculate a weighted average beat level waveform from a first beat level waveform obtained for a first frequency band and a second beat level waveform obtained for a second frequency band; calculate autocorrelation on the weighted average beat level waveform by varying an amount of a shift interval for the autocorrelation; determine a plurality of the shift intervals at which correlation values of the autocorrelation are n highest, where n is a positive integer greater than or equal to 2; and determine the number of beats per bar based on the determined plurality of the shift intervals at which the correlation values of the autocorrelation are n highest.

The application discloses a choreography intelligent recommendation method and a matching system, which first extracts the mel-frequency cepstral coefficient and the beat signal of audio to generate music context features, and constructs a dancer skill vector in combination with a dancer body parameter; inputs the music features, the dancer features and an existing primitive sequence into a Transformer decoder to output a first probability distribution of action primitives; then, with the aid of a compatibility encoder, the compatibility of action conversion is calculated, the probability distribution is corrected, a new action primitive is sampled, and a complete primitive sequence is generated through cyclic iteration. Finally, a fluency network is used to score multiple sequences, an optimal sequence is selected, and the optimal sequence is converted into skeletal motion data by relying on an action primitive dictionary. The application effectively solves the problems of harsh action connection and action not meeting the body conditions of dancers in the existing choreography scheme.

The invention relates to the technical field of dance posture correction, and provides a dance posture correction method and system based on artificial intelligence, and the method comprises the steps: carrying out the audio data processing of a to-be-corrected dance video, segmenting the dance video through the beat time point of music paragraph segmentation, and obtaining a corrected dance posture; human body joint point coordinate strokes before and after the beat time point are recognized through an artificial intelligence model, and the coordinate strokes reflect the dancing action condition; whether the dance movement at the beat time point is stuck or not is determined by identifying whether the human body joint point strokes in the two video segments are continuous strokes or not, whether the dance posture at the corresponding beat time point needs to be corrected or not is judged, the corresponding relation between the dance movement and the music rhythm is quantized, a user can complete correction only based on the dance video of the user, and the user experience is improved. Therefore, more intelligent and more accurate dance teaching and evaluation are realized.

1. Name of the Design Product: Metronome (YN-02). 2. Use of the Design Product: By adjusting the rate, beat, rhythm pattern, preparatory beat and timbre to help the user maintain a stable beat and enhance the sense of rhythm, and can be used for musical instrument use and sports practice. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo Most Indicating the Design Key Points: Perspective View 1.

The invention discloses a group dance generation method based on music driving, and aims to generate a coordinated multi-dancer dance choreography in combination with music beats and a three-dimensional action sequence. The relative position relation between dancers is effectively kept through the dancer positioning embedding technology, it is ensured that the distance between the dancers is within a reasonable range through a distance consistency loss function, an exchange mode embedding mechanism is designed to mark the position changing track of the dancers, a step method adapter module is constructed to optimize and adjust original actions, and the foot sliding phenomenon is remarkably reduced; a long sequence diffusion sampling strategy is provided, position information is injected into noise input to suppress attitude sudden change, and meanwhile, a state space sequence layer is introduced to enhance the selective processing capacity of a model on a long sequence; and finally, reconstructing coordinated group dance by using the generated three-dimensional action sequence. Experiments show that TCDiff + + shows leading performance in a long-time scene, and a high-quality and coherent group dance sequence can be generated.

The present application discloses a method, an apparatus, and a computer-readable storage medium for generating accompaniment music, belonging to the field of computer technology. The method includes: determining a target beat count of an initial music, where the target beat count is the number of beats per minute of the initial music; determining a target virtual instrument corresponding to the beat count range in which the target beat count is located among virtual instruments corresponding to at least two beat count ranges; during the playback of the initial music, receiving at least two trigger instructions for the target virtual instrument; and combining the sounds of the target virtual instrument indicated by each of the at least two trigger instructions according to the reception times of the at least two trigger instructions to obtain the accompaniment music. The present application solves the problem that the functions of computer software related to music creation are relatively single. The present application is used for generating accompaniment music.

1. The name of the design product: flash trigger. 2. The use of the design product: The product belongs to the field of musical instruments, installed on the drum set, combines audio trigger and light trigger, synchronizes the flash light with the drum beat rhythm, and provides more intuitive and dynamic sound and light interaction experience. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view.

This application discloses a song editing processing method, apparatus, device, medium, and product. The method includes the following steps: displaying a music playback interface for playing target music; responding to a beat change node arrival event during the playback of the target music, displaying a drift control corresponding to the beat change node on the music playback interface to demonstrate the drift process of the drift control; and responding to a touch event of any drift control, clearing the touched drift control accordingly. This application enriches the music playback format, effectively represents the rhythm information of the played music, and utilizes rhythm information to participate in human-computer interaction, creating an immersive effect during the listening process. This can stimulate user traffic on online music platforms and enhance their economic value.

The application relates to the technical field of data processing, in particular to a dance choreography generation method, device and system based on AI, which comprises the following steps: taking a waist as an origin, taking limb joints as motion nodes, recording the spatial coordinate motion trajectory, starting and ending coordinates and motion vectors of basic motion elements; generating connecting motion elements through the linear motion trajectory of the motion nodes between the basic motion elements; acquiring a beat time sequence; generating an initial population containing multiple dance choreography schemes, each scheme being composed of multiple arrangement units and containing a unit type, a selection state, a starting time and a speed adjustment coefficient; performing iterative evolution through a genetic algorithm, calculating fitness values according to beat deviations, motion vector angles and connection lengths, and finally obtaining an optimal dance choreography scheme. The application can digitize basic dance elements and iteratively optimize and analyze the combination of the basic dance elements through AI data, and the basic dance elements and the music beat are matched, so that better fluency is achieved.

The method of VEM-Token beat capture and alignment model construction is based on the VEM-Token vocal emotion multi-modal model method, which uses musical beats to further innovate the division of vocal files into VEM-Token units. The core of this method is to establish a beat model, a beat capture model, and a beat alignment model for vocal files. The former separates the sample vocal file into singing, accompaniment, and emotional fluctuations through multiple filters, captures the start and end points of the beat in the frequency spectrum format file, and the latter uses start and end point fine-tuning models to align the user's imitation file with the sample file. The beat is captured using models including beat base model, harmonic impact, joint learning, harmonic frequency layering, dynamic time warping, etc. The construction of models such as base model, start point fine-tuning and end point fine-tuning, full alignment verification, beat editor, free beat, repeat alignment, and communication interface protocol makes this method suitable for Agent music intelligent agents and AI music applications.

The invention provides a time-frequency domain Kalman fusion multi-target tracking method for team dance live broadcast, relates to the technical field of image processing and target detection and tracking, and provides a method for carrying out rhythm perception weight fusion on time-frequency domain one-step motion extrapolation and Kalman prediction. Embedding into a detection-prediction-two-stage association-updating-birth / termination lightweight tracking assembly line; the music rhythm is used as dynamic prior, the conventional paragraph is dominated by Kalman, and the time-frequency extrapolation weight is improved when dance music sticking points and actions burst; meanwhile, universal and non-migratable scene constraints are deleted, and two-stage association and shielding maintenance are reserved, so that real-time performance, robustness and ID stability are considered under the conditions of multi-person synchronous dance, frequent mutual shielding, machine position light movement and the like, a mainstream human body detector and an actual live broadcast system can be seamlessly adapted, and the real-time performance is improved. The problem that real-time performance and ID stability are difficult to consider under the conditions of strong shielding, strong synchronization and low time delay in group dance live broadcast is solved.

The invention relates to the technical field of data processing, in particular to an AI-based dance choreography generation method, device and system, and the method comprises the steps: taking a waist as an original point, taking four-limb joints as motion nodes, and recording a space coordinate motion track, starting and ending coordinates and a motion vector of a basic motion element; a connection action element is generated through the linear motion trail of the motion nodes between the basic action elements; acquiring a beat time sequence; an initial population containing a plurality of dance arrangement schemes is generated, and each scheme is composed of a plurality of arrangement units and comprises a unit type, a selection state, a starting moment and a speed adjustment coefficient; iterative evolution is carried out through a genetic algorithm, a fitness value is calculated according to the beat deviation, the motion vector included angle and the connection duration, and finally an optimal dance arrangement scheme is obtained. According to the method, the dance basic action elements are digitized, and the combination of the basic action elements is analyzed through AI data iteration optimization, so that better fluency is achieved under the condition that the basic action elements are matched with music beats.

With the present invention, audio effects that are more natural to a listener are introduced into a piece of music. Beat positions in a piece and a certainty factor of each of the beat positions are analysed, and audio effects are output on the beat positions analysed. The output level of the audio effects is gradually reduced to zero from the beat position where the value of the certainty factor decreased to or below a preset certainty factor value.

The application discloses a real-time playing error correction method based on MIDI data, comprising the following steps: collecting MIDI data when a user plays and analyzing and delivering the MIDI data to a to-be-judged queue; comparing a tick time when the user currently presses a key with a music score standard MIDI of a current beat time, determining whether there is an effective note within a preset time error range, if there is, matching a key value corresponding to the tick time when the user presses the key with a key value of the music score standard MIDI, if the matching succeeds, respectively analyzing whether key values corresponding to a previous tick time and a next tick time are matched with key values corresponding to a beat time of the music score standard MIDI, if both are matched, confirming that the currently pressed key is correct, otherwise, judging that the currently pressed key is incorrect; after the user finishes playing, saving and summarizing results of each key, dividing a to-be-enhanced practice area, taking out data according to the beat time, merging and sending to a data display layer for display. The application effectively improves the error correction effect and improves the learning efficiency of a piano child.

The utility model relates to the technical field of shoes, and provides a novel playing type music making shoe which comprises a shoe sole and a mobile terminal, and an APP client side is arranged on the mobile terminal. The sole comprises an upper sole, a middle sole and a lower sole, a plurality of pressure sensors, a loudspeaker and a controller are embedded in the lower sole, a power supply unit for supplying power, a storage unit and a wireless transmission unit are arranged in the controller, a music beat library, a music library and standard music score libraries respectively corresponding to songs in the music library are arranged in the storage unit, and the wireless transmission unit is connected with the wireless transmission unit. The music racket further comprises an acceleration sensor, the acceleration sensor is embedded in the lower bottom and connected with the data end of the controller, and the acceleration sensor detects a plurality of actions corresponding to a plurality of beats in the music racket library respectively. According to the utility model, the problems that the existing playing type music making shoes are relatively single in arrangement during music making and cannot effectively perform combined music making of more different timbres are solved.

A musical notation for piano including a plurality of fields, wherein each field of the plurality of fields represents a measure of music, and where each field includes a plurality of columns, wherein a number of columns in the plurality of columns is equal to a number of beats per measure, a plurality of rows, wherein a number of rows in the plurality of rows is at least equal to a number of distinct pitches in a plurality of right-hand notes, and a base note indicator comprising a base note of a plurality of left-hand notes, and the musical notation further includes a left-hand pattern comprising a series of numbers.