Sequence predictors may be used to predict one or more entries in a musical sequence. The predicted entries in the musical sequence enable a virtual musician to continue playing a musical score based on the predicted entries when the occurrence of latency causes a first computing system hosting a first virtual musician to not receive entries or timing information for entries being performed in the musical sequence by a second computing system hosting a second virtual musician. The sequence predictors may be generated using a machine learning model generation system that uses historical performances of musical scores to generate the sequence predictor. Alternatively, or in addition, earlier portions of a musical score may be used to train the model generation system to obtain a prediction model that can predict later portions of the musical score.

Sequence predictors may be used to predict one or more entries in a musical sequence. The predicted entries in the musical sequence enable a virtual musician to continue playing a musical score based on the predicted entries when the occurrence of latency causes a first computing system hosting a first virtual musician to not receive entries or timing information for entries being performed in the musical sequence by a second computing system hosting a second virtual musician. The sequence predictors may be generated using a machine learning model generation system that uses historical performances of musical scores to generate the sequence predictor. Alternatively, or in addition, earlier portions of a musical score may be used to train the model generation system to obtain a prediction model that can predict later portions of the musical score.

A method for producing and streaming music generated from plants. Plant microfluctuations are converted to MIDI notes and subsequent CC messages, and are mapped to a unique signal chain of virtual instruments and effects to produce musical notes which are output through the speakers of an apparatus, or through a linked portable electronic device.

An automated music composition and generation system and process for producing one or more pieces of digital music, by providing a set of musical energy (ME) quality control parameters to an automated music composition and generation engine, applying certain of the selected musical energy quality control parameters as markers to specific spots along the timeline of a selected media object or event marker by the system user during a scoring process, and providing the selected set of musical energy quality control parameters to drive the automated music composition and generation engine to automatically compose and generate one or more pieces of digital music with control over the specified qualities of musical energy embodied in and expressed by the piece of digital music to composed and generated by the automated music composition and generation engine.

According to an embodiment, there is provided a system and method for automatically generating a complete music work from a partially completed work provided by a user. One approach uses an artificial intelligence (AI) engine that is trained by creating incomplete works from a database of complete works and then instructing the AI to complete the incomplete works. A comparison is made between the completed works and the originals to determine the effectiveness of the training process. After the AI is trained, it is applied to the user's incomplete work to produce a final music item.

According to an embodiment, there is provided a system and method for automatic AI controlled loop based song construction. It provides and benefits from a machine learning AI in a audio loop selection engine for the generation of a song structure and for the selection of fitting audio loops from a database of audio loops. In one embodiment, the instant method provides a music generation process that utilizes an AI system that has been trained and validated on a music item database to complete the creation of a music item given an incomplete song that was started but not finished by a user.

A computer-implemented method for music composition embodying a system for teaching the same is provided. Each composition is retrievably stored as music data selectively broken apart into different elemental portions for generating and teaching the composition of hundreds of thousands of additional songs or accompaniments for over 40 musical instruments and all types of human voices. The present invention is adapted to allow the melodies of the additional songs or accompaniments to automatically change the range in order to accommodate the notes range of the selected instrument or human voice.

Disclosed are a music data analysis apparatus capable of analyzing and visualizing creation principles of music and a music data generation apparatus capable of using the creation principles. The music data generation apparatus may comprise: a memory; and a processor executing at least one instruction stored in the memory, wherein the processor is configured to perform: generating a seed overlap matrix so that the seed overlap matrix represents musical features of seed music data; and generating new music data based on the seed overlap matrix.

A restorative musical system having a musical composition, which has a plurality of audio elements, a start and an end, and a slow tempo. The plurality of audio elements having a phrase, a plurality of arrangements, a pulsating sound, and a field recording element. The phrase and the pulsating sound adapted to repeat within the musical composition, while the plurality of arrangements is adapted to be introduced in succession. Additionally, the plurality of audio elements is audio mixed to play at a solfeggio frequency and are adapted to cause stereo imaging.

Novel tools and techniques are provided for generating music, and, more particularly, to methods, systems, and apparatuses for generating music associated with a state contained within a communication, for a user interface for generating music associated with a state, for generated music to reflect movement between states, and for generating music to guide a user toward a desired state. In various embodiments, a computing system might analyze a communication of a user to determine at least one state contained within the communication. The communication may be a sensor communication, a biometric/health communication, a voice communication, a numerical communication, a textual communication, a picture/video communication, etc. Based on the determined at least one state, the computing system might generate music associated with the state or continuously control the generation of music to guide a user toward a desired state. A user interface for generating music may also be provided.