63 results about "Cadence" patented technology

The invention discloses an elderly lower limb rehabilitation training assessment method and system based on enhanced training, and relates to the technical field of intelligent exercise rehabilitation assessment, and the method comprises the following steps: S100, building an individual rhythm observation system, continuously collecting lower limb muscle contraction rhythms and stride rhythms, generating a rhythm data set, and storing the rhythm data set; a complete rhythm fingerprint band is extracted from the rhythm data set to serve as a benchmark reference for frequency regulation and control; and S200, performing micro-amplitude frequency sweeping based on the rhythm fingerprint band, analyzing rhythm data changes in real time, identifying fine vibration peak characteristics in rhythms, calibrating a phase overlapping region, and generating a rhythm segment. According to the method, through the steps of rhythm fingerprint construction, risk rhythm recognition, buffering and energy dissipation introduction and the like, dynamic regulation and control of the lower limb rehabilitation training rhythm of the old people are achieved, high-frequency resonance is avoided, the injury risk is reduced, and the training safety and the individual rhythm adaptability are improved.

Systems and methods for procedural media generation, such as generating musical variations and figures, are described. The systems and methods utilize continuous-value data representing structural parameters of rhythm and temporal dynamics to enable dynamic adjustment to musical patterns, intelligent routing, pattern morphing, and real-time feedback. Further features include context-aware effects, adaptive pattern evolution, and multimodal synchronization, thereby providing tools for music composition, performance, and audio production, among other applications.

A singing detection method and a singing detection system using the same are provided in the embodiments of the present invention. The singing detection method includes the following steps: performing packet trigger judgment to activate the detection function; conducting rhythm detection on the sound signal; performing pitch detection on the sound signal; quantizing the pitch detection data; converting the quantized data and rhythm detection data into MIDI note data; using the MIDI note data to judge rhythm and pitch changes; assigning weighted scores and comparing with a threshold score. Finally, it determines whether the sound signal is singing based on the total score. This method combines multiple musical feature analyses to identify singing voices through comprehensive scoring.

The present disclosure relates to a system and method for detecting musical infringement in symbolic music. The system receives a first musical composition and, when provided as audio, converts it into a symbolic format using a transcription neural network trained to extract a main melody. It then generates k-mer sequences comprising consecutive notes, indexes these sequences in a data structure configured for dynamic conditioning, and compares them to reference musical compositions. Upon estimating a similarity measure that exceeds a threshold, the system performs a refined local sequence alignment adapted for music, accounting for key shifts, rests, and melodic or rhythmic variations. Based on this refined alignment, the system determines whether the first musical composition includes a musical fragment that infringes upon or regurgitates a portion of at least one reference composition.

The application provides a drum audio generation method, device and storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: detecting an audio time length setting operation of a user; generating a drum performance instruction file corresponding to a drum audio of a target time length based on a drum performance instruction generation model, wherein the target time length is indicated by the audio time length setting operation, and the drum performance instruction file comprises rhythm information of at least one drum type; detecting a drum beat rhythm adjustment operation of the user; adjusting the rhythm information of the at least one drum type based on the drum beat rhythm adjustment operation; and generating drum audio based on the adjusted rhythm information of the at least one drum type. The application can generate personalized drum audio.

This information processing method comprises: extracting a feature amount of a sound content; calculating, on the basis of the extracted feature amount, a first complexity value and a second complexity value which are indices each indicating the complexity of the sound content, the first complexity value being an index indicating the complexity of the rhythm of the entire sound content and the second complexity value being an index indicating the complexity of the harmony of the entire sound content; and associating and outputting the sound content, and the first complexity value and the second complexity value.

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 disclosed systems and methods provide systems and methods for rhythm recognition and the analysis of ECG signals.

The invention belongs to the technical field of rhythm training instruments, and particularly relates to a training device for training music rhythm, which comprises a base plate, two ends of the base plate are connected with supports, a transmission mechanism is arranged between the two supports, one end of the transmission mechanism is provided with a knocking hammer, and the top end of the base plate is provided with a sounding piece. The knocking hammer knocks the sounding piece rhythmically through the transmission mechanism, the transmission mechanism comprises a rotating rod, a plurality of driven gears are arranged on the rotating rod, the number of teeth of the driven gears is increased step by step, a moving mechanism is arranged on the base plate, a self-adaptive assembly is arranged on the moving mechanism, a driving piece is arranged on the self-adaptive assembly, and the driving piece is in transmission fit with the driven gears. And the driving piece performs any transmission switching among the plurality of driven gears through the moving mechanism and the self-adaptive assembly. Through multi-stage gear transmission, a dynamic switching mechanism and self-adaptive control, the accuracy of rhythm adjustment and personalized adaptation of the training process are realized, and the efficiency of music rhythm training is remarkably improved.

The invention discloses an AI-based digital collection background music recommendation method, and relates to the technical field of AI. The method comprises the following steps: acquiring a key frame average image, a dominant tone vector and a style label of a digital collection, and candidate music samples and audio signals of a music library; extracting dynamic features of the digital collections to generate rhythm representation vectors; processing the music audio to generate a rhythm structure vector, and calculating the rhythm similarity between the rhythm structure vector and the rhythm structure vector through a dynamic time warping algorithm; generating a digital collection visual style vector and a music style vector, and calculating a style consistency score by using a cosine similarity algorithm; an auxiliary music feature vector is generated through the digital collection visual style vector, and a guide score is calculated in combination with the bottom layer audio features; and calculating a comprehensive score index according to the rhythm similarity, the style consistency score and the guide score. According to the invention, background music recommendation is carried out on the digital collections through the comprehensive scoring index.

A musical instrument with novel configurations and performance techniques that can play notes and scale tones is disclosed. The musical instrument implements design and ergonomic changes to a Theremin's traditional configuration and use. The musical instrument includes an additional sound generation device such as an actuator that is operated to provide rhythm and tonal results. The musical instrument includes a pitch antenna that is configured in a horizontal position, which creates a different plane of reference with respect to performance motions employed for modifying the pitch. The musical instrument allows for a user to play notes and scale tones in a standing, seated, or ambulatory position. Improved playing interfaces, accessory items, and other characteristics for enhancing the playing of the musical instrument are provided.

The utility model relates to the technical field of percussion instruments, and discloses a music rhythm percussion instrument which comprises a support, the top end of the support is fixedly connected with a bracket, the bracket is internally provided with a drum body, the inner wall of the drum body is fixedly connected with drum leather, and the drum body is internally provided with a volume adjusting mechanism. The volume adjusting mechanism comprises two fixing shells and two supporting plates, and the outer surface of each hand screw is fixedly connected with an auxiliary bearing. According to the music rhythm percussion instrument, through mutual cooperation of the support, the bracket, the drum body, the drum leather, the fixing shell, the supporting block, the hand-screwing screw rod, the top disc, the auxiliary bearing, the non-slip mat, the supporting plate, the fixing cylinder, the sliding rod, the soft bristle plate, the damper and the back-jacking spring, the drum body with the drum leather can be supported by the support and the bracket, so that the hand-screwing screw rod can be conveniently screwed; and under the assistance of the auxiliary bearing, the supporting block can be gradually jacked up in the fixed shell by the jacking disc and the non-slip mat, and the soft bristle plate is gradually close to the drum leather until being gradually clung to the bottom surface of the drum leather.

The application discloses a kind of rhythm application's multi-link delay measurement system and method, including equipment to be measured, measurement unit and test application module.Measurement unit provides uniform time reference based on single-chip microcomputer, and audio, input and rendering link delay are independently measured by sound, acceleration and optical sensor respectively.Test application module sends notification to measurement unit when triggering test event synchronously, and it records start time stamp A based on uniform time reference, and records end time stamp B when sensor detects physical signal to threshold value, and calculates delay according to B-A.Based on measurement result, equipment delay configuration is generated as compensation parameter: subtract input delay from touch event time stamp to restore physical touch real time;And according to the difference between rendering and audio delay, additional adjust the advance of musical note rendering to align background music.The application realizes multi-link accurate physical measurement and equipment level calibration, and significantly improves the accuracy of sound picture synchronization and determination.

This invention relates to the field of music education technology, specifically to a musical instrument playing training system and method based on real-time pitch monitoring. The system includes a musical instrument acoustic waveform analysis module, a tuning frequency tracking module, a pitch deviation analysis module, a muscle memory reshaping guidance module, and a musical instrument mastery blind spot positioning module. In this invention, by sensing the vibration envelope and reconstructing the energy distribution of the overtone series, the core musical tone components are accurately extracted from a complex acoustic environment, improving the accuracy of fundamental frequency identification and enhancing the ability to capture microscopic pitch drift. This effectively solves the problem of poor anti-interference in traditional detection methods, transforming pitch deviation into a concrete physiological cause analysis, optimizing the depth of performance mechanism analysis and enhancing the physical correction directionality. It achieves precise integration of correction actions and performance rhythm, ensuring the scientific nature of muscle memory reshaping and significantly reducing functional pitch deviation. By tracking the rate of movement deformation and tracing the source of technical bottlenecks, it optimizes musical instrument mastery and improves the level of intelligent music training.

The invention relates to the technical field of music playing, and discloses a music device capable of realizing automatic rhythm adjustment, which comprises a tightening belt, the fastening belt is provided with a magic tape body; a shell is fixedly installed on one side of the tightening belt, an audio processing and playing module, a main control module and a storage battery are sequentially installed in the shell in an integrated mode, a user can generate the rhythm in real time through knocking, and instant synchronization of inspiration and music is achieved. By capturing the knocking signal and combining intelligent analysis of the original audio, the generated rhythm not only conforms to the intention of the composer, but also highly conforms to the emotion of the music, and the artistic expressive force is high. The wearable lightweight design and the buffer mechanism ensure accurate and stable signal acquisition during mobile creation. The integrated cable and earphone storage system solves the problem of inconvenient winding and carrying, and greatly improves creation freedom and use convenience.

The invention discloses an electronic organ dynamic music score generation and key highlight guiding method and system, and the method comprises the steps: receiving music and difficulty parameters inputted by a user, and carrying out the preprocessing; a multi-track separation and chord reasoning algorithm based on deep learning is adopted, and music features including melody, chord and rhythm in the preprocessed music are extracted; generating a dynamic electronic organ music score according to the music characteristics and the difficulty parameters by adopting a multi-mode Transform model, and adjusting the content of the music score according to the note density and the rhythm complexity; according to the electronic organ music score, a lighting system on the electronic organ is used for indicating keys needing to be played; the skill level of the user is evaluated by collecting the key pressing speed and accuracy of the user, and the electronic organ music score difficulty is adjusted in real time according to the evaluation result; a music generation Transform technology is adopted to generate an accompaniment note sequence, and various accompaniment instrument options and style adjustment options are provided according to user preferences. According to the invention, full-process automation and personalized learning can be realized.

The present application belongs to the field of depression treatment, and particularly relates to the use of percussion instruments and music in the production of a device for treating depression, wherein the percussion instruments are selected from at least one of membrane-sounding instruments and body-sounding instruments, and the music is selected from at least one of fast rhythm music and slow rhythm music. The present application also relates to a device for treating depression. The steps and device of the present application can effectively treat depression, significantly relieve the symptoms of depression and anxiety of patients, and obviously improve the sleep quality of patients.

The technical problem to be solved by the present invention is to generate sound through intuitive operation. A sound generation device (100) is provided, comprising: a first region (R1) configured with an operating element for receiving an operation to generate a rhythmic tone signal; a second region (R2) configured with an operating element for receiving an operation to generate a melody tone signal; and a third region (R3) configured with an operating element for receiving an operation to impart an acoustic effect to a synthesized sound signal obtained by combining the rhythmic tone signal and the melody tone signal. The first region (R1), the second region (R2), and the third region (R3) are independent of each other.

The invention discloses a method for objectively and quantitatively evaluating the influence of visual playing training on cognitive resources on the basis of a sound hand spectrum. The method comprises the following steps: acquiring a baseline pulse wave signal (PPG) before visual playing training is performed on a subject; obtaining visual playing characteristics such as key accuracy and rhythm accuracy in the visual playing training process; after visual playing training, post-measured PPG signal data of training is collected immediately; preprocessing the baseline and post-measured data, and extracting related physiological feature indexes; and the subject performs a cognitive resource test task and obtains related experimental characteristics. And constructing a data set based on the obtained features, training a cognitive resource evaluation model, and quantifying a cognitive resource level and a cognitive resource training effect of visual playing training. According to the method, an objective and extensible technical scheme is provided for evaluating the influence of music curing on cognitive resources based on piano sound hand music score visual playing training.

The invention discloses a rule-set-driven automatic generation system and method for video singing ear practice rhythm test questions. The system comprises a rhythm type management module, a rule set configuration module, a batch management module, a test question generation engine and a result display module. The system takes a rhythm type as a basic unit, defines an action sequence and constraint conditions generated by test questions through a configuration rule set, and realizes automatic generation of rhythm test questions. The system adopts an ABC notation method to represent rhythm types, and accurate control of a test question generation process is realized through action components (such as filling all blanks, selecting random positions, randomly extracting rhythm types and the like) and constraint components (such as using counting control, position limitation and the like). According to the method, a test question bank is not needed, a large number of non-repeated and difficulty-controllable brand-new questions can be generated, it is guaranteed that all the questions generated in batches cover knowledge points comprehensively and uniformly, and the method is suitable for rhythm practice and examination proposition requirements with various difficulty levels and special requirements.

The invention relates to the technical field of music recognition education, and discloses a music rhythm recognition and evaluation method and system based on multi-modal feedback. The music rhythm identification and evaluation method is applied to the music rhythm identification and evaluation electronic equipment, and specifically comprises the following steps: S101, receiving a music rhythm identification and evaluation request of a user side, and collecting time sequence data and force information of a pressing action of a user in real time through a sensor arranged in the music rhythm identification and evaluation electronic equipment, meanwhile, audio signals are collected and captured through a high-fidelity microphone or a direct audio interface. According to the method, objective quantitative evaluation of music rhythm capability is realized through a multi-modal data fusion analysis mechanism, three-modal synchronous acquisition and fusion analysis of time sequence data, strength information and audio signals are adopted, and a multi-level fusion strategy of a data level, a feature level and a decision level is adopted; an advanced algorithm combining dynamic time warping and a hidden Markov model overcomes the limitation of traditional single-mode evaluation.

Embodiments of the present application relate to a method, device and medium for annotating a human audio segment. The method comprises, for a human audio segment to be annotated, obtaining reference rhythm annotation information, so as to generate a rhythm cue sound based on the reference rhythm annotation information; determining an overlap state of the human audio segment to be annotated and the rhythm cue sound, so as to adjust the reference rhythm annotation information based on the overlap state until the overlap state satisfies a second threshold condition; and annotating the rhythm of the human audio segment to be annotated based on the reference rhythm annotation information when the second threshold condition is satisfied. Thus, the annotation accuracy for human audio can be effectively improved.

The invention discloses an AI music creation system based on multiple modes, and the system comprises a user control layer which is used for receiving the input of a user, and transmitting a control signal to a controllability engine and an accidental engine; and the controllability engine is connected with a rule constraint domain, and the rule constraint domain comprises a music theory rule base and a culture compatible filter and is used for performing rule constraint on music generation based on the music theory rule base and the culture compatible filter. According to the AI music creation system based on multiple modes, through a closed-loop feedback mechanism of the artistry evaluation module and the strategy adjustment module, a music generation strategy can be dynamically adjusted in real time, the mechanization and monotonicity problems of music generation are effectively avoided, the artistry of music works and the user satisfaction degree are remarkably improved, and then the user experience is improved. According to the method, the dimension collaborative optimizer is introduced, consistency analysis is carried out on music dimensions such as chord proceeding, melody development and rhythm design, dimension conflicts are effectively prevented, and the generated music works are more harmonious in structure.

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.

Systems and methods for procedural media generation, such as generating musical variations and figures, are described. The systems and methods utilize continuous-value data representing structural parameters of rhythm and temporal dynamics to enable dynamic adjustment to musical patterns, intelligent routing, pattern morphing, and real-time feedback. Further features include context-aware effects, adaptive pattern evolution, and multimodal synchronization, thereby providing tools for music composition, performance, and audio production, among other applications.

The invention provides a method and a system for converting natural intonation into melody, a terminal and a medium, which are characterized in that fundamental frequency and tone length information of a voice sample are extracted, initial and final consonants are distinguished, fundamental frequency parameters of each final consonant are calculated, and the tone tuning range of each final consonant in a statement is determined. And matching music symbols by using the tuning ranges to generate a preliminary melody, and finally aligning the melody with the syllables of the voice sample to generate an audio file with a song melody. On the basis of the phonetic theory, the fundamental frequency, the tone length and the pause interval information of the voice sample are accurately extracted, and it is ensured that the generated melody can accurately reflect the characteristics and rhythm of natural intonations. The automatic method not only simplifies the operation process and improves the conversion efficiency, but also is suitable for a plurality of fields such as linguistics research, speech synthesis, language teaching, language training and pronunciation improvement.

The application provides a music rhythm display method and device, a storage medium and an electronic device, and belongs to the field of audio signal processing. In the application, whether a beatmap of music has been created is determined when music is detected to be played; and when it is determined that the beatmap of music has been created, a current audio frame of the music and a historical beatmap are obtained, and then the historical beatmap can be updated based on the current audio frame to obtain a current beatmap, and the current beatmap is displayed. In the application, the historical beatmap can be updated according to the current audio frame when the music is played to obtain and display the current beatmap, and thus the beatmap does not need to be redrawn every time, time and effort are saved, the problem of time and effort consumption caused by multiple drawings is solved, and memory expenditure is effectively saved.

Systems and methods for procedural media generation, such as generating musical variations and figures, are described. The systems and methods utilize continuous-value data representing structural parameters of rhythm and temporal dynamics to enable dynamic adjustment to musical patterns, intelligent routing, pattern morphing, and real-time feedback. Further features include context-aware effects, adaptive pattern evolution, and multimodal synchronization, thereby providing tools for music composition, performance, and audio production, among other applications.