9 results about "Time signature" patented technology

A method for generating a musical score, a device, and a computer-readable storage medium. The method includes: obtaining target audio; generating a chromagram of the target audio corresponding to each pitch class, utilizing the chromagram to identify a chord of the target audio, and obtaining chord information; performing mode detection on the target audio, and obtaining original key information; performing rhythm detection on the target audio and obtaining the beats per minute; performing identification on a beat type of each audio frame of the target audio, and determining an audio time signature on the basis of a correspondence relationship between a beat type and a time signature; utilizing the chord information, the original key information, the beats per minute, and the audio time signature and performing musical score rendering, and obtaining a target musical score.

A music notation system for string instruments features a time signature indicator and measure sections with representations arranged in a single horizontal plane to eliminate spatial recognition requirements and avoid navigation across multiple information planes. Each representation includes colored numbers denoting fret positions and string colors, spatially arranged to eliminate the need for musicians to leap across different vertical positions when reading sequential notes. Graphical indicators positioned separately from and in proximity to the colored numbers specify note duration, with visual separation isolating rhythmic components from note identification. This reduces visual processing complexity, providing a method for string instrument players to interpret and perform musical compositions accurately without requiring spatial recognition skills.

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 is suitable for the technical field of audio signal rhythm detection, and provides a music rhythm detection method and device, terminal equipment and computer readable storage medium, comprising: obtaining style information of an audio signal; determining model parameters according to the style information; loading the model parameters into a target rhythm recognition model, wherein the target rhythm recognition model is used for recognizing the rhythm of the audio signal input into the target rhythm recognition model, and the target rhythm recognition model is trained by a plurality of first sample audio signals whose style information is known; and obtaining a rhythm detection result of the audio signal according to the audio signal and the target rhythm recognition model loaded with the model parameters. The above method can effectively perform rhythm detection on music signals of different time signatures and style types.

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.

It is used by writing the notes on the keyboard (such as Do-Re-Mi) or their melodies (including the alphabet), or question marks (various shapes or pictures with symbols indicating the length of notes added), bullets, or circles (including numbers). (Symbols are included.) You can also write chords and melodies. It is easy to use for everyone from children to the elderly. For chords (chord structures, etc.), keys, bass, rhythm and guitar, pseudo chord notations are used (chord notations that allow you to write up and down lines to show high and low notes and arrows to show movement, as well as symbols for changes) and pseudo sound captain Taishi (rhythm notations that use pictures, hiragana, katakana, numerical symbols, etc. to show rhythm and beat), pseudo sound member Ben (bass notes can be written as melody and root notes using the alphabet or katakana), and pseudo sound member Gin (guitar chords and melodies can be used in the same way as the pseudo chord notation examples), making it easy to understand each part even when several people are playing together. It can also be used for writing lyrics and words, and for additional sound members such as the Tam (you can also clearly write where to hit the drums), Jay (you can also write in indications for programmed parts and sound effects), Bang (you can also write in corrections or when you cannot fit everything on the keyboard), and Bo (you can also clearly write in vocals and melody lines (including keys)), which can also be used for a wide range of purposes such as for band formats and arrangements. In addition, the additional Gyoton Squadron Series + Plus Alpha (keyboard score)) Nobii (stretching) Kick (that is, rest) Haku (beats between melodies and chords, stretching sounds, pauses between sounds, and can be added as a symbol for the sound itself.) Beat squad and Break-san (You can also write in the save destination for data, etc.) Kimame-san (You can use or write in the position when you want to repeat something again, when there is a movement forward or backward, or when moving forward or backward.) Pato (You can check (for mistakes in the keyboard score) and write in the necessary information so that you don't forget to correct it, and you can mark it in that place.) can be used to easily add detailed instructions. Compatible with games (Character Kingdom and Japanese Island Creation) Compatible with other string keyboard scores, Gin scores, and Ben scores. Compatible with other character and other music games.(The trademark symbol in the trademark registration application submitted on September 12, 2023 may be used.) (The trademark symbol in the trademark registration application submitted on September 6, 2023 may also be used.) (The trademark symbol in the trademark registration application submitted on September 20, 2023 may also be used.) Reference number 1 (The trademark symbol in the trademark registration application submitted on September 20, 2023 may also be used.) Reference number 2 (The trademark symbol in the trademark registration application submitted on September 22, 2023 may also be used.) Reference number 3 (The trademark symbol in the trademark registration application submitted on September 2 Trademark symbols submitted on the 2nd are also acceptable) Serial number 4 (Trademark symbol used in trademark registration applications submitted on October 19th, 2023. (Also used by Giontai members and others (from September 12th) up to the application submitted on September 22nd, 2023 (including trademark symbols submitted on September 21st, 2023). Includes all 16 types and trademark symbols submitted on October 19th, 2023.) Serial number 5 Serial number 6 Includes trademark registration applications submitted on October 26th, 2023. Serial number 7 and other related submissions.

The invention is suitable for the technical field of audio signal rhythm detection, and provides a music rhythm detection method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining music style information of an audio signal; determining model parameters according to the music style information; the model parameters are loaded into a target rhythm recognition model, the target rhythm recognition model is used for recognizing the rhythm of the audio signals input into the target rhythm recognition model, and the target rhythm recognition model is obtained by training a plurality of first sample audio signals with known music style information; and obtaining a rhythm detection result of the audio signal according to the audio signal and the target rhythm recognition model loaded with the model parameters. According to the method, rhythm detection can be effectively carried out on music signals with different beat numbers and music style types.

A processor-based automated method of identifying and assembling tessellating rhythmic patterns for a generative composition system maintains coherent musical form between musical bars. The applied method artificially controls, over time, tension and resolution in music to maintain good form by manipulating the correlation between rhythmic output and its rhythmic template. The system takes a time signature for a musical bar, and partitions it into multiple timeslots (TSn) of equal duration. A rhythmic template generator (112) partitions the timeslots into a grid (402) such that combinations of groupings of multiples of two timeslots, three timeslots or combinations of groupings of two and three timeslots are identified within a single bar for the bar. For each grouping, a single rhythmic event marker or "beat" is initially placed in its first timeslot, with beat insertion also completed for all alternative rhythm templates of the grid. Each rhythmic template provides a tessellation over a selectable number of bars. Following selection of one rhythmic template as a prime or root, its event marker positions are populated with notes using probabilistic note position selecting algorithms (619a-d) specific to particular instruments (609, 611, 614, 616), and styles. Since all selected instruments contributing to rhythm share a common root, even with varying note density, musical coherence is observed, and good form maintained between tessellating bars. Harmonics later overlay the generated rhythm(s) in a complementary process.

The invention relates to a dynamic stave generation method based on an MIDI file, and the method comprises the steps: analyzing note event data based on the MIDI file; stave mapping processing is carried out on the note event data, and the positions and styles of notes on a stave are determined; instantiating the note preform to display the note based on the mapping result; according to the note attributes, generating corresponding note rods, cross rods, detents, nodal lines and the like; the music speed and the beat number are dynamically adjusted by analyzing the dynamic time signature and the beat number information per minute in the MIDI file. According to the method, the standard staff is generated in real time by reading the MIDI file, accurate interaction with a user is achieved, meanwhile, elements such as notes and note rods are allowed to be replaced with dynamic prefabricated parts (such as cartoon notes and 3D effects), and the interestingness and teaching effect of music learning are improved.