This application relates to an audio synthesis method, a storage medium, and a computer device. The method includes: obtaining a target text; determining a target song according to a selection instruction; synthesizing a self-made song using the target text and tune information of the target song according to a tune control model, the target text being used as the lyrics of the self-made song. The solutions provided in this application improve an audio playback effect.

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system modifies the composition of a song in response to changes in user activity. The modifications are made according to a set of composition rules to facilitate smooth musical transitions.

A touch control system comprising: a first electronic data processing device, a second electronic data processing device, and a tactile control surface, wherein the first electronic data processing device may be a computer, and the second electronic data processing device may be a tablet. The computer may comprise a DAW, first software application, and wrapped plug-ins. The tablet may comprise a second software application.

A computer implemented method is provided for generating a prediction of a next musical note by a computer having at least a processor and a memory. A computer processor system is also provided for generating a prediction of a next musical note. The method includes storing sequential musical notes in the memory. The method further includes dividing, by the processor, the sequential musical notes into sections of a given length based on a Generative Theory of Tonal Music. The method also includes generating, by the processor, the prediction of the next musical note based upon a music model, the sections, and the sequential musical notes stored in the memory. The given length is determined based on one or more conditions.

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system determines target musical criteria corresponding to the user activity levels and modifies the composition of a song in response to changes in user activity.

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system modifies the composition of a song in response to changes in user activity. The modifications are made according to a set of composition rules to facilitate smooth musical transitions

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system modifies the composition of a song in response to changes in user activity. The modifications are made according to a set of composition rules to facilitate smooth musical transitions.

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system determines target musical criteria corresponding to the user activity levels and modifies the composition of a song in response to changes in user activity.

The present disclosure relates to a system and method for selecting and generating audio using a large language model. The method includes receiving from a user a text-based prompt for a desired song, generating a song specification from a prompt that includes the text-based prompt and instructions on how to create a suitable instruction file format for representing the requested song, for each of the list of tracks in the song specification, generating a ranked list of potential sound loops matching the song specification for a selected track, selecting a sound loop from the ranked list of potential sound loops for each of the list of tracks, and generating a track specification file including the sound loop selected for each of the list of tracks.

The present disclosure provides a method and a system for realizing intelligent matching and adding of rhythmic tracks. In one example, a method is provided, including: pre-storing a plurality of music elements; generating a rhythmic track library according to the plurality of music elements, the rhythmic track library including a plurality of rhythmic tracks based on the plurality of music elements; detecting a BPM of original music, and calculating a time interval between every two beats based on the detected BPM of the original music; selecting one or more rhythmic tracks from the rhythmic track library, and assigning a time parameter to the one or more rhythmic tracks based on the time interval so as to match the rhythm of the original music; and adding the one or more rhythmic tracks assigned with the time parameter into the original music so as to combine with the original music and play.