Broadly speaking, embodiments of the present invention provide systems, methods and apparatus for cellular compositions/generating music in real-time using cells (i.e. short musical motifs), where the cellular compositions are dependent on user data.

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.

Aspects of the present invention provide an approach for dynamically optimizing a beat. In an embodiment, a current movement rate and biometric data for each user in a group performing a physical activity are collected. An upcoming movement rate for each user is predicted based on the collected current movement rates and biometric data. Music having an optimized beat is then generated based on a lowest upcoming movement rate among the predicted upcoming movement rates.

Techniques are disclosed relating to generating music content. In one embodiment, a method includes determining one or more musical attributes based on external data and generating music content based on the one or more musical attributes. Generating the music content may include selecting from stored sound loops or tracks and/or generating new tracks based on the musical attributes. Selected or generated sound loops or tracks may be layered to generate the music content. Musical attributes may be determined in some embodiments based on user input (e.g., indicating a desired energy level), environment information, and/or user behavior information. Artists may upload tracks, in some embodiments, and be compensated based on usage of their tracks in generating music content. In some embodiments, a method includes generating sound and/or light control information based on the musical attributes.

A system and method for generating an audio output file are provided. The method includes using one or more processors to perform steps of: receiving audio tracks, each audio track created according to audio parameters; separating each audio track into at least one selectable audio block, each audio block including audio content from a musical instrument involved in creating the audio track; assigning a unique identifier to each audio block; using the unique identifiers to select audio blocks, and generating the audio output by combining the audio blocks. The present invention prevents the use of the same combination of audio blocks in the generation of audio output to ensure that the audio output files generated a sufficiently unique. Also provided are audio file recording, editing and mixing modules enabling a user to have full creative control over mix and other parameters to modify as desired the audio file generated.

A system of playing media content items determines transitions between pairs of media content items by determining desirable locations in which transitions across the pairs of media content items occur. The system uses a plurality of track features of media content items and determines such track features of each media content item associated with each of transition point candidates, such as beat positions, of that media content item. The system determines similarity in the plurality of track features between the transition point candidates of a first media content item and the transition point candidates for a second media content item being played subsequent to the first media content item. The transition points or portions of the first and second media content items are selected from the transition point candidates for the first and second media content items based on the similarity results.

Due to discrepancies in musical timing signatures, the invention assesses whether a recorded displacement, expressed in terms of beats and fractions, between exit and entry points for a potential musical splice or cut, corresponds to permit a seamless music splicing of different musical sections. Assessment is achieved by establishing a third time base of pulses having a length dependent upon a lowest common multiple of fractions within respective bars for different sections, with the bars of the respective sections then partitioned into an equal number of fixed length pulses. A coefficient aligns different time signatures; it is a ratio between pulses within the different sections. The coefficient identifies corresponding locations of a cut point, related to a suitable anacrusis, in terms of respectively an aligned bar, beat, quaver and fraction in differing time signatures. The coefficient ensures that the time anacrusis in one time signature is interchangeable with others.

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 is a system and method that allows users to customize audible and visible signals, such as music or video, to maintain a pre-determined or specified pace or to achieve a new pace in repetitive motion activities such as, but not limited to, running, walking, swimming, cycling, aerobics, and the like. Other applications of the system and method include, but are not limited to, enhancing the results of medical rehabilitation programs, physical therapy, weight loss programs, disc jockey services, and industries or manufacturing settings where repetitive motion is common and where audible cues designed to help users maintain a consistent pace are useful.