10 results about "Music visualization" patented technology

The invention provides a music visualization method and a music visualization device. The music visualization method comprises the following steps: acquiring a current frame signal of a target audio signal, and determining current frame parameter information based on the current frame signal; determining a target representation mode of the current frame signal based on the current frame parameter information; a visual representation of the current frame signal is generated based on the target representation pattern.

The application discloses a music visualization method and device, a computer readable storage medium and a vehicle, wherein the method comprises: acquiring at least one frequency corresponding to an audio signal within a preset time before a current time; determining a frequency interval in which each frequency is located, and determining an amplitude corresponding to the frequency interval to obtain an amplitude corresponding to each frequency; wherein the frequency interval comprises a plurality of frequency intervals, each frequency interval has a corresponding amplitude; and controlling an atmosphere lamp according to each frequency and the amplitude corresponding to each frequency. Thus, the linkage between the atmosphere lamp and music can be realized, and different frequency characteristics of the vehicle-mounted music can be exhibited by controlling the atmosphere lamp, so that the visual presentation effect of the vehicle-mounted music is better, a more cool music atmosphere is created, and the user experience is improved.

This invention discloses a music-assisted image generation method based on music theory element extraction. The method specifically includes: extracting six-dimensional fine-grained structured music theory semantics from audio using a multimodal large language model and performing cross-modal consistency verification; constructing a neutral scene description based on the NSA (Neutral, Concise, White Space) principle to provide a semantic whiteboard; intelligently translating music theory elements into visual modification instructions using the large language model, adaptively rewriting the neutral scene to generate fusion prompts; and using the FastVAR model for efficient image generation. Compared with existing technologies, this invention effectively solves the problems of black-box feature extraction and semantic alignment ambiguity in audio-driven generation, eliminates logical conflicts caused by cross-modal splicing, and achieves high-quality generation while ensuring high-fidelity image texture details and semantic consistency. The method is intelligent and efficient, and has good application prospects in the fields of intelligent art creation and music visualization.

The disclosure provides a system for music visualization and a loudspeaker system including the system for music visualization. The system may comprises: a passive radiator configured to be movable in a direction of excursion while music is being played; a plurality of lenses operably attached to the passive radiator and configured to move together with the passive radiator; and a plurality of light sources disposed relative to the plurality of lenses so that the light emitted from the plurality of light sources passes through the plurality of lenses and is projected on an environment surface to form at least one projected area.

The invention discloses a music driving fluid generation method and system based on multi-dimensional semantic mapping, and belongs to the technical field of computer graphics and audio signal processing. The method comprises the following steps that music input by a user is received, characteristics such as rhythm, frequency spectrum and energy are obtained through audio analysis, and emotion vectors and color information changing along with time are obtained through a music emotion recognition and color palette generation module; in a unified parameter space, the audio, emotion and color semantics are mapped into fluid colors, fluid simulation parameters and camera and environment control parameters, and fluid models such as shallow water waves or height fields are driven to generate multi-style fluid scenes changing along with music. Compared with an existing music visualization mode which only depends on frequency band energy to drive simple and special effects, the method can achieve consistent expression of music emotion, rhythm, fluid form and audio-visual atmosphere in multiple scenes, and can be applied to scenes such as music visualization, immersive interactive art display and emotion relaxation assistance.

The application belongs to the technical field of music propagation and artistic algorithm, and specifically discloses a music and light visualization method based on sound-light mapping, which comprises the following steps: collecting and pre-analyzing and extracting audio signals through real-time microphone collection or a preset audio input mode; filtering out noise in the audio signals, improving the uniformity and stability of the audio signals, and amplifying audio details through an adaptive filtering algorithm, a normalization algorithm and a dynamic compression method, so that preprocessed audio signals are obtained; a multi-layer convolutional neural network model is constructed, the preprocessed audio signals are input into the multi-layer convolutional neural network model, and music features are extracted based on a mel-frequency scale; a multi-dimensional sound-light parameter mapping relationship is established based on the music features and light feature parameters; and light signals are generated and output according to the mapping relationship, so that music and light visualization is realized. The application solves the problems of single nature, insufficient stability, high delay and application limitations in traditional music visualization technology.

A method and system for visualizing music using a perceptually conformal translation system are provided. A music source file is input into a processor configured to carry out a series of steps on music perception audio cues identified within the music, to translate those cues into visual cues, with rules for spatial arrangement, to ultimately generate a visual representation of the music on a display device, time synchronized with the audio music. The translation system produces an enhanced experience of music perception for the user listening to the music while viewing the display. The rules for spatial arrangement may allocate visual cues translated from music source components and music representation components to different parts of the display. The effect of that is to use spatial information to enhance music perception. The display may be enhanced by including video of the music performance or a music video associated with that performance.

The invention discloses a multi-ecology compatible acousto-optic interaction intelligent ceiling lamp system and a control method thereof, and belongs to the technical field of intelligent home and illumination, and the system comprises an intelligent sound box which comprises a main control module, a multi-mode communication and protocol compatible module, an illumination execution module, an entertainment illumination unit, a laser module and an audio collection module. Through ecological seamless integration, the pain point that a user is bound by a brand is solved, and the product universality and the user experience are greatly improved; through high function fusion, three illumination technologies with different purposes are physically integrated, logic unification is achieved through an intelligent algorithm, and the full-scene requirement from practicability to entertainment is met; through an advanced acoustic feature extraction and multi-parameter mapping algorithm, a professional music visualization effect far better than that of an existing product is provided.

The application provides a music teaching man-machine interaction implementation system and method based on a cloud database, and belongs to the technical field of man-machine interaction and artificial intelligence. The system comprises a sound sensor, an image sensor, a cloud matching unit and a visual interaction terminal. The sound sensor comprises a music collection unit and a music playing unit. The music playing unit first plays first target teaching music. Then, the music collection unit collects real-time music rhythm sequences generated by a target person at present. The image sensor synchronously captures a body action sequence and an expression change sequence of the target person. The cloud matching unit matches at least one target matching music in the cloud database based on the real-time music rhythm sequences of the target person, the body action sequence or the expression change sequence. The visual interaction terminal compares the first target teaching music with the target matching music, and adjusts the first target teaching music. The technical scheme of the application can realize personalized music teaching based on artificial intelligence assistance.

A method of producing a graphical representation of a musical composition, the method including: (a) receiving music data indicative of at least the harmony and rhythm of the musical composition; (b) processing the music data to provide a set of harmonic data including a time series with one or more common harmonic features of the musical composition; (c) processing the music data to provide a set of rhythmic data including a time series with one or more common rhythmic features of the musical composition; and (d) forming a graphical representation of the musical composition including a grid with a first shaded region of the grid having a shading intensity based at least in part on the harmonic data and a second shaded region of the grid having a shading intensity based at least in part on the rhythmic data. The first and second shaded regions of the grid may overlap.