90 results about "Cadence" patented technology

The invention relates to the technical field of natural language processing and medical treatment, can be applied to scenes of daily music creation, psychological medical treatment and the like, and discloses a knowledge graph-based music generation method, device and equipment and a medium, and the method comprises the steps: obtaining demand information, analyzing the demand information according to a preset knowledge graph to construct knowledge connotation mapping, generating a music constraint condition according to the knowledge connotation mapping; generating melody, rhythm and harmony based on the music constraint conditions; and performing music fusion on the melody, the rhythm and the harmony to generate a target music work. Music can be automatically generated, and the creation requirement of a user for a specific music type is met.

The invention relates to the field of music score digitization, in particular to an electronic music score generation method and model, equipment and a storage medium. The method comprises the following steps: analyzing context features of a to-be-transliterated music score according to shape features, position features and time sequence features of a plurality of music score elements in the to-be-transliterated music score, and generating a target electronic music score corresponding to the plurality of music score elements; when it is detected that the complete preset music structure is generated, a plurality of bars in the current music structure are obtained, and the actual rhythm of each bar is calculated according to the time value of the note; determining a rhythm limit of each bar based on the context features and a preset music score design logic; when the rhythm difference exists between the actual rhythm and the rhythm limit, determining a music score updating strategy based on at least one abnormal bar in the preset music structure and the rhythm difference corresponding to the abnormal bar; and updating the symbolic representation of the corresponding fragment according to the music score updating strategy. High-quality music score transfer is realized, and meanwhile, the change of an original work is reduced as much as possible.

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

The invention provides a self-adaptive rhythm electronic piano accompaniment system based on artificial intelligence, and the system comprises a single-key triggering module which is used for indicating an accompaniment process; the speed-control signal conversion module is used for converting the speed signal acquired by the inductive sensor into a music control signal; the storage module is used for storing accompaniment note sequence data of the song; and the artificial intelligence accompaniment generation module adjusts the accompaniment rhythm according to the trigger signal and the playing speed, and generates accompaniment sound or harmony in real time. The system further comprises a pitch calculation unit, a timbre parameter adjustment module, a timbre generation module, a dynamic range adjustment module, a timbre smooth transition module, an automatic harmony generation module, a volume dynamic adjustment module and an audio output module. The control unit receives a user instruction and adjusts system setting parameters. Intelligentization and self-adaption of the accompaniment can be achieved, self-adjustment of the playing speed of the accompaniment is achieved, the playing speed of the accompaniment is kept consistent with the singing speed of the user, the playing flexibility and expressive force are improved, and the playing experience is improved.

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.

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.

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.

A system identifies a song structure by using beat markings and chord strings. The process includes steps of extracting of raw features using machine learning, creating beat markings and chord strings, and receiving mashup search details. The process iteratively analyses all songs in a catalog based on tempo, key, beat markings, chord strings, and creates a mashup using specific conditions. In case no matches are found, the process attempts to pitch-shift songs. This system facilitates automatic matching of songs enhancing rhythmic interplay and harmonic cohesion. It provides a systematic, granular examination of song structures, enabling accurate, efficient music matching and permitting the creation of high-quality mashups.

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.

The present application discloses an audio processing method and device, which relate to the field of audio processing technology. The method comprises obtaining an audio file to be processed and extracting key parameters from the audio file to be processed, wherein the key parameters include at least a beat list, a beat type and a beat number speed parameter. According to the beat type and the beat number speed parameter, the note duration range corresponding to the interval between each adjacent beat is calculated. When matching the note sample, the method searches for each candidate note in the note duration range that meets preset rules and matches the recording rhythm from the note sample library. The preset rules are determined by the beat list, the preset music parameters and the music theory constraints. The method searches for the optimal note sequence from each candidate note, and renders the optimal note sequence by a preset rendering method to obtain an audio signal, thereby completing the process of creating a musical work.

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 invention discloses a music therapy control method and system, and belongs to the technical field of physiotherapy therapy, and the method comprises the steps: selecting a proper musical instrument from musical instruments including a Chinese zither, an Erhu, a piano and the like according to the physical and mental conditions of a patient, and through the sound wave stimulation of the musical instruments with specific frequency and rhythm, the excitability of a nervous system can be adjusted, nervous tension can be relieved, and the physical therapy effect can be improved. The sleep quality is improved. For example, the soothing music sound wave can reduce the beta wave activity of the brain and increase the alpha wave and theta wave activity, so that the brain enters a relaxed and focused state, the related nervous system problems such as insomnia and anxiety can be relieved, and the emotion of people can be directly influenced through music of different styles and emotion colors. The happy music can stimulate positive emotions and relieve depressed emotions; and the soothing music can relieve anxiety and nervous mood, so that the mood of people is calm.

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 relates to the technical field of artificial intelligence, and discloses a music generation model training method, which comprises the following steps: S1, extracting harmony, rhythm and curve form theoretical characteristics of an input music sequence; s2, constructing a dynamic music theory constraint field, and fusing the spatio-temporal evolution law of the theoretical characteristics; s3, designing a gating constraint generator, and injecting the constraint field state into a music generation process; s4, establishing a dynamic optimization objective function containing theoretical constraint terms; s5, generating and screening a theoretical boundary sample through reverse disturbance; s6, implementing a double-loop iteration mechanism of generation training and theoretical evolution; s7, realizing generation capability migration of the cross-music theory system; the S1 comprises the following steps: extracting chord features by adopting a two-way circulation network; and coding the rhythm mode through depth separable convolution. According to the method, self-adaptive balance of theoretical guidance and artistic innovation is realized through a constraint field and chaotic scheduling, and the dual problems of stiff generated music and rule conflicts are solved.

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.