12 results about "Beat (music)" patented technology

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.

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.

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.

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 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 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.

This application discloses a control method and related products for a drumming robot. The method includes: acquiring a musical measure to be played; calling a recursive function to divide the musical measure, obtaining the division result; the recursive function is used to recursively divide the musical measure according to a preset rule; the division result includes multiple equal division positions; assigning beats to the musical measure based on the division result according to a strong / weak beat allocation rule, obtaining the allocated musical measure; the strong / weak beat allocation rule is based on the sequence number of each equal division position and the time value of the corresponding note in the division result; generating a control sequence based on the allocated musical measure, and using the control sequence to control the drumming robot. This application breaks through the limitations of traditional fixed-mode control, enabling the drumming robot to accurately reproduce the rhythmic layers of music.

This invention discloses a real-time music generation and audio-visual linkage method and system based on speech feature analysis, including: acquiring user speech and verifying its validity; extracting acoustic features such as fundamental frequency, energy, and rhythm from valid speech, mapping them to music composition parameters such as mode, tempo, note density, and dynamics; generating structured music data based on the music composition parameters and rendering and playing it; analyzing the audio signal during playback in real time, extracting the beat signal and full-band RMS power; controlling particle emission density, diffusion speed, and glow brightness based on the beat signal, and controlling the color shift of the screen based on the cumulative phase of the full-band RMS power, driving the visual content to dynamically and synchronously change with the music. This invention achieves real-time generation of personalized music based on user speech features, and uses the generated music to drive the visuals, forming an immersive interactive experience with deep audio-visual linkage; the entire process is performed locally, without a network, meeting the requirements of real-time response and stable offline operation.

The present application relates to the technical field of dance posture correction, and provides a dance posture correction method and system based on artificial intelligence, which comprises the following steps: processing audio data of a dance video to be corrected, segmenting the dance video according to beat time points of music segment division, and identifying joint point coordinate strokes of a human body before and after the beat time points by using an artificial intelligence model, wherein the coordinate strokes reflect dance action conditions; determining whether dance action is stuck at the beat time points by identifying whether the joint point strokes of the human body in two video segments are continuous strokes, judging whether dance posture at the corresponding beat time points needs to be corrected, and quantifying the corresponding relationship between dance action and music rhythm, so that a user can complete the correction based on his / her own dance video, and thus more intelligent and more accurate dance teaching and evaluation are realized.

The application provides a dance video generation method based on multi-modal music driving and frequency-space dual-flow decomposition, multi-granularity music features are extracted through a composite encoder (Librosa+Jukebox), and a beat-gated attention mechanism is used to strictly align key actions such as lifting hands and kicking legs with music beat points, and through test data set verification, the synchronization error is reduced to 118 ms; in view of the problem of visual detail loss, a frequency-space dual-flow decomposition architecture is proposed, a reference image is decoupled into a low-frequency energy graph and a high-frequency residual by using a Butterworth filter bank, and a dual-flow diffusion mechanism is used to optimize global posture and local details; in view of the generation stability under the shielding scene, a joint confidence prediction module is introduced, a time domain sliding window weighted fusion strategy is used to dynamically correct the motion trajectory of an abnormal joint point, and reasonable actions conforming to ergonomics can still be generated under a 50% limb shielding rate.

This invention discloses an artificial intelligence-based automatic music composition and lyrics generation system and method, specifically relating to the field of automatic music composition and lyrics generation technology. It models the attenuation characteristics of melody pitch distribution and dynamic changes in a target acoustic environment and extracts the main emotion-carrying frequency band. It calculates an emotion transmission attenuation coefficient based on the degree of spectral attenuation, couples the emotion transmission attenuation coefficient with the temporal distribution relationship of the lyrics semantics, constructs a temporal evolution sequence of emotion perception shift, analyzes the alignment relationship between lyric syllable accents and melody beats, calculates a rhythmic clarity degradation index, quantifies the degree of rhythmic ambiguity, and unifies the emotion transmission attenuation coefficient and rhythmic clarity degradation index into an acoustic adaptation degradation state vector. Based on this vector, it jointly adjusts the melody pitch distribution, note value configuration, and lyric syllable density, adaptively optimizing the emotion expression path and rhythmic structure for different playback terminals and acoustic environments.

The application discloses a kind of multimodal dance teaching interaction methods, including the dance action video stream of target object acquisition.First, video key point is processed using subpixel interpolation and median filter, and IMU data is compensated for drift using Kalman filter, effectively eliminating sensor noise and occlusion interference, achieving high-precision three-dimensional pose reconstruction;Using dynamic time warping (DTW) algorithm and limiting search path slope, the problem of non-linear alignment of action speed and music beat is solved, and the action deviation calculation is more consistent with the laws of human kinematics by using the weighted scoring formula containing space, time and audio dimensions;Through the construction of user historical feature matrix for cluster analysis, the scoring tolerance and teaching difficulty can be dynamically adjusted, personalized teaching is realized, and comprehensive and in-depth dance guidance is provided for users.