70 results about "Sequence (music)" patented technology

A system, computer readable storage medium, and method for communicating musical data over a network, comprising: connecting one or more player modules to a network; providing an unassigned channel of prerecorded music data; providing an assigned channel of prerecorded music data; displaying the assigned channel; playing the unassigned channel while not playing the assigned channel; converting musical performance to music performance data; evaluating the music performance data in regard to the assigned channel; and simultaneously delivering a representation of the evaluation over the network. There may also be a graphical user interface, including a virtual instrument positioned substantially at a top portion of the graphical interface. Additionally, included are pluralities of musical notes in sequence, having a rhythmic pattern, each note being represented by a game object, wherein the game objects are directed upward, in substantially straight trajectories, toward the virtual keys on the virtual musical instrument corresponding to the musical notes.

A learning aid and a method of making and using it are disclosed, and relate to the configuring of chord indicia in an ordered sequence to designate groups of chords for certain given musical keys. The chord indicia and musical key indicia are arranged in a matrix. The matrix is arranged in overlapping columns, and each column is designated with an individual one of the musical key indicia. The columns are arranged such that each group of chords comprises a plurality of columns such that each key indicia comprises a designated column and at least one adjacent other key column.

The invention discloses a method for joint detection of music in audio and the relative loudness of music, which comprises acquiring the audio to be detected and preprocessing it to obtain audio features; inputting the audio features as a network input sequence into a dual-task music detection network model, Output three prediction scores for each time step; based on the prediction score ≥ the set threshold or < the set threshold is marked as 1 or 0, the prediction score of each time step is converted into a size of (3,) 0‑1 Prediction vector, using the prediction vectors of all time steps to form a music relative loudness detection sequence; combining the second and third positions of the prediction vector with logical or operation to obtain a 0-1 prediction vector with a size of (2,), and using logical or operation to obtain all The prediction vector forms a music detection sequence; the music relative loudness detection sequence and the music detection sequence are converted into readable annotations, and an audio annotation file including start time, end time and category is obtained.

The invention discloses a Chinese national pentatonic emotion recognition method and system. Firstly, by decoding MIDI files, extracting all data representing pitches, removing repeated tones, and sorting the pitches to obtain a pitch sequence; The IACTS algorithm identifies this set of data and checks the results to accurately judge its mode; after finding the palace tone, it will classify all the notes in the music according to the mode interval relationship based on the palace tone, if all the notes can be Accurately classify according to the relationship with the palace tone interval, then the verification is passed, and the mode is finally determined. On the contrary, if there is a special interval outside the mode, the verification will not pass; finally, according to the currently recognized division method: the color of the feathers and the color of the feathers, the emotional color of Chinese folk music is judged.

The invention discloses a music score generating method and a music score generating device, belonging to the technical field of terminals. The music score generating method comprises the following steps: acquiring audio signals of a target multi-media file; according to the frequency of the audio signal of each note moment, determining the pitch of the audio signal of each note moment; forming a pitch sequence by adopting the pitches of the audio signals of the note moments, and determining a note sequence of the target multi-media file according to the preset intervals among the pitch sequence and the note moments; dividing the note sequence into a plurality of note subsequences, and acquiring the rhythm of each note subsequence; and forming the music score of the target multi-media file by adopting the note subsequences and the rhythms of the note subsequences. According to the music score generating method and the music score generating device, through the frequencies of the audio signals of the note moments, the pitches, note sequence and the rhythms are obtained, the music score of the target multi-media file is determined, and thus the accuracy in generating the music score is improved.

The present disclosure provides a music synthesis method, device, electronic equipment, and storage medium. The method includes: acquiring the current hidden variable; inputting the current hidden variable into each cyclic neural network unit included in the cyclic neural network model to obtain each The music features output by the cyclic neural network unit; through the generator trained in the anti-neural network model, the music features output by each cyclic neural network unit are converted into corresponding music sequences; wherein, the cyclic neural network unit and the generator are in The discriminator in the confrontational neural network model is obtained after the training is completed; the music sequence is sequentially spliced ​​to obtain the synthesized music sequence corresponding to the current hidden variable. Each music sequence depends on the current hidden variable and the music feature output by at least one cycle unit before each cycle unit, so that the length of the sequence on which each music sequence depends is shorter, and artificial intelligence can synthesize longer music.

The invention discloses a method for extracting pitches and value in musical instrument sound based on a data set, and mainly solves the problem that a traditional method in the prior art is good in performance in the field of single-tone recognition and subdivision, but is relatively weak in performance in the field of complex-tone recognition. The method for extracting the pitch and the value in the musical instrument sound based on the data set comprises the following steps: a digital music score is registered into a digital music score library by selecting the digital music score; the music score played by the player is registered in the digital sound library; and a construction method for matching the category label sequence with the sound features to form a sound feature-music element data set. The invention discloses the method for extracting the pitch and the value in the musical instrument sound based on the data set and a system. According to the scheme, the value information and the pitch information of the digital sound signal generated by the musical instrument playing are extracted by using the supervised machine learning model, and the music elements in the compound tone can be well extracted, so that the method has very high practical value and popularization value.