43 results about "Beat (music)" patented technology

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 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 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. 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.

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.

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.

The utility model discloses a music beat training device which comprises a protective shell, a rotating handle is rotationally connected to the middle position of one side of the protective shell, a metronome body rotationally connected in the protective shell is fixedly connected to one side of the rotating handle, and a winding mechanism is arranged on one side in the protective shell. A fixing column is arranged at the top end of the winding mechanism, and first limiting mechanisms are arranged at the two ends of one side of the fixing column. According to the metronome, one side of the protective shell is provided with a plurality of groups of positioning holes, when the pull rope on the rotating handle drives the magnetic rod to be pulled out of the positioning holes in the protective shell through the second movable block, the metronome main body can be rapidly rotated through the rotating handle, and at the moment, the angle between the protective shell and the metronome main body can be rapidly adjusted; and the magnetic rod on the rotating handle is inserted into the positioning holes at different positions on the protective shell, so that the position fixation of the metronome main body after the angle adjustment can be completed.

The present invention provides a musical piece analysis device comprising a processor that executes: a process for synchronously adding audio waveforms, of a plurality of sections including temporary beat positions set in accordance with a temporary BPM in a BPM fixed section of a musical piece, by aligning the temporary beat positions; a process for updating the temporary BPM and re-executing the synchronous addition; and a process for specifying, as the BPM of the BPM fixed section, the temporary BPM at which the peak level of the waveform obtained by the synchronous addition is at a maximum.

A method for generating a music-driven choreography based on the music feature clusters and dynamics, the method including the steps of: receiving a segment of input music; extracting a plurality of music features from the input music; generating a plurality of music segments based on musical beats; assigning music labels for each music segment; selecting a dance segment for each music segment by label similarity and an optimization process; and generating the music-driven choreography by combining the dance segments.

The invention provides a music driving action generation method based on double-flow decoupling and continuous phase field modeling, and belongs to the technical field of artificial intelligence and multimedia generation. According to the method, an audio feature extraction strategy of amplitude domain and phase domain combined modeling is constructed, music semantics and energy information are represented by logarithmic Mel spectrum, and a periodic structure is described by phase rhythm features; introducing a continuous beat phase function to construct a dense periodic coordinate system, and mapping a discrete beat signal into a continuous phase field with a circumferential topological structure; a double-flow cross attention injection mechanism is adopted in the diffusion generation framework, and the beat control intensity is scheduled through a gating potential energy window; and the training stability is improved by adopting an original prediction parameterization form. According to the method, human body actions with accurate rhythm alignment, consistent semantics and continuous and natural time sequence are generated.

The application discloses a music creation auxiliary device, comprising: a feature extraction module for extracting high-level features of an input melody, the high-level features comprising weight notes, weight chords, terminal chords and structure chords; a feature encoding and splicing module for encoding current notes, weight notes and weight chords, splicing the encoding vectors to obtain an encoding guide vector, and for encoding chords, terminal chords and structure chords of the previous beat, splicing the encoding vectors to obtain a decoding guide vector; and a chord generation module for taking the encoding guide vector as the input of an encoder of a Transformer model, taking the decoding guide vector as the input of a decoder of the Transformer model, and conducting forward conduction operation through the Transformer model to generate chords. The device can improve music quality and accuracy.

1. Name of the product in this design: Metronome (CB-10). 2. Purpose of this design: To serve as a tool for providing rhythmic beats when playing musical instruments. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted. 6. Other matters requiring explanation: The outer casing of this design product is made of transparent material.

Claviation is a method for transposing an electronic musical keyboard in real time, supporting key changes during play using the keys themselves. A performer enters transposition mode via a pedal or button and then presses two keys in sequence to define the transposition interval. These two presses are muted so they do not affect the musical output. The three-step action can be executed within the duration of a beat and becomes faster with practice. The method requires no calculation or conceptualization of intervals. It allows scales to be played primarily on the white keys, even across key changes, eliminating the need to learn multiple key signatures and fingerings. A piece learned in one key can thereby be performed in all keys. The method accelerates learning, supports improvisation, and preserves spatial playing patterns across key changes, improving accessibility for performers and composers.

The present application relates to the field of atmosphere lamp control, and particularly relates to a control method and device of atmosphere lamp. The present application carries out activity analysis on audio data of multiple frequency bands, and dynamically selects an advantage target frequency band according to the activity, which discards the mode of fixedly selecting frequency band in the traditional scheme. Since rhythm energy of different styles of music is distributed in different frequency bands, the dynamic selection mechanism can follow the change of music type, lock the frequency band where the current music rhythm is concentrated, and adapt to rhythm distribution characteristics of various music. Relying on the target frequency band to collect audio frames and carry out effective beat point detection can ensure the effectiveness of rhythm signal collection and avoid rhythm missing detection caused by improper frequency band selection. On this basis, the atmosphere lamp displays light effects according to the beat analysis result, which can realize stable synchronization of light and music rhythm, and effectively solve the problems of poor style adaptability, rhythm capture failure of part of the music, and poor light rhythm performance in the prior art.

The invention discloses a dancing motion real-time identification and evaluation method based on computer vision, relates to the technical field of computer vision, and automatically identifies a significant motion initial event and generates a motion pulse sequence by using the motion amount change between continuous frames, so that motion segmentation has real-time performance and accuracy. And at the action pulse moment, the key point attitude is compared with the standard action template to obtain a dynamic action quality coefficient, so that fine-grained action quality evaluation can be carried out based on the real action occurrence moment. And meanwhile, the action pulse is automatically matched with the nearest beat point, and the time deviation is calculated, so that the synchronization degree of the dancer action and the music rhythm can be quantified. Through joint output of the time deviation and the motion quality coefficient, the scheme can evaluate the motion accuracy and rhythm synchronism at the same time, and provides a comprehensive evaluation capability which is more comprehensive and real-time than traditional video attitude analysis and meets dance training requirements.

The application provides a music data intelligent clustering system and method based on audio feature analysis, comprising: collecting updated music audio data of music software, identifying beat cycle features and melody emotion features of the updated music audio data, identifying music categories corresponding to the updated music audio data according to the beat cycle features and the melody emotion features, constructing clustering adaptive parameters according to category features corresponding to each of the music categories, determining clustering similarity between the updated music audio data and each of the music categories according to the clustering adaptive parameters, and dividing the updated music audio data into corresponding target music categories, so that music is classified by using a clustering technique combined with a feature identification technique, the drawbacks of traditional techniques are solved, and the accuracy of music data classification is improved.

The application relates to the technical field of vehicles, in particular to a background dynamic rhythm switching method and device based on a music genre and a vehicle, wherein the method comprises the following steps: determining whether a background dynamic rhythm switching request is received; if the background dynamic rhythm switching request is received, determining a target music playing background, a target music playing mode and an atmosphere lamp rhythm strategy corresponding to the target music playing mode based on the background dynamic rhythm switching request; switching a current music playing mode of the vehicle to the target music playing mode, and / or switching a current music playing background of the vehicle to the target music playing background, and controlling the atmosphere lamp to rhythm according to the atmosphere lamp rhythm strategy corresponding to the target music playing mode. Therefore, the problems that the music software currently plays a fixed cover or a background dynamic effect and is low in intelligence are solved, the aggregation of a car machine music background and rhythm is realized, and the driving experience of a user is improved.

The invention provides a music signal feature extraction and light dynamic mapping control method and system, and the method comprises the steps: carrying out the recognition of a music beat based on a model, recognizing a bar, a beat time point, the number of bars, and a beat number, and calculating the beat speed; identifying music styles and emotions, classifying song styles and identifying emotional tendencies; drumbeat point feature analysis and recognition, particularly recognition of striking points of a bottom drum and a military drum; music segmentation identification, wherein music segmentation identification is carried out based on music style identification; special event detection: detecting high voice, silence accompaniment, special drumbeat at the beginning and weakening at the end; performing popular song color system switching identification and execution; and generating a light driving file, and realizing music signal characteristic and light dynamic mapping control based on the above results. The technical problems that in the prior art, due to the fact that music signal feature extraction is not accurate, the synchronous interaction effect of lamplight and music is insufficient, and music rhythm, style and emotion changes cannot be fully expressed can be effectively solved.

The invention relates to a method, a device, equipment and a product for adding special effects. The method includes acquiring sticking point information of music of a video, wherein the sticking point information indicates a change in rhythm of the music. The method further includes obtaining speed change information for the video based on the sticking point information, where the speed change information indicates a playback rate for each video segment of the video. In addition, the method also includes adding a special effect to the video based on the speed change information.