An electronic device and a method for controlling the electronic device, the method including receiving an input of a command to reproduce music contents, determining audio characteristics information on the music contents and situation information on an environment where the music contents are being reproduced; and displaying a visualization effect of visualizing the music contents using the audio characteristics information and the situation information, and reproducing the music contents.

Described herein are real-time musical translation devices (RETMs) and methods of use thereof. Exemplary uses of RETMs include optimizing the understanding and/or recall of an input message for a user and improving a cognitive process in a user.

The invention provides for the evaluation of semantic closeness of a source data file relative to candidate data files. The system includes an artificial neural network and processing intelligence that derives a property vector from extractable measurable properties of a data file. The property vector is mapped to related semantic properties for that same data file and such that, during ANN training, pairwise similarity/dissimilarity in property is mapped, during towards corresponding pairwise semantic similarity/dissimilarity in semantic space to preserve semantic relationships. Based on comparisons between generated property vectors in continuous multi-dimensional property space, the system and method assess, rank, and then recommend and/or filter semantically close or semantically disparate candidate files from a query from a user that includes the data file. Applications apply to search and compilation tools and particularly to recommendation tools that provide a succession of logical progressive associations that link between disparate file content in source and destination files.

A system and method for synchronizing an audio or MIDI file with a video file are provided. The method includes receiving a first audio or MIDI file, receiving a video file, and operating an audio synchronization module to perform steps of synchronizing the first audio or MIDI file with the video file, marking an event in the video file at a point on a timeline, detecting a first musical key for the event, retrieving a musical stinger or swell from a library, in which the musical stinger or swell is a second audio or MIDI file and is tagged with a second musical key, and the second musical key is relevant to the first musical key, and placing the musical stinger or swell at the point of the timeline marked for the event.

An automated music composition and generation system for automatically composing and generating digital pieces of music using an automated music composition and generation engine driven by a set of emotion-type and style-type musical experience descriptors and time and/or space parameters provided by a system user. The automated music composition and generation engine includes an instrument subsystem supporting a library of virtual instruments, wherein each virtual instrument is capable of performing one or more notes of at least a portion of the composed piece of music, in response to the emotion-type and/or style-type musical experience descriptors; an instrument selector subsystem for automatically selecting one or more of virtual instruments from the library, so that each selected virtual instrument performs one or more notes of at least a portion of the composed piece of music; and a digital piece creation subsystem for creating the digital piece of composed music by assembling the notes produced from the virtual instruments selected from the library.

The present invention relates to a method and system for analysing audio (eg. music) tracks. A predictive model of the neuro-physiological functioning and response to sounds by one or more of the human lower cortical, limbic and subcortical regions in the brain is described. Sounds are analysed so that appropriate sounds can be selected and played to a listener in order to stimulate and/or manipulate neuro-physiological arousal in that listener. The method and system are particularly applicable to applications harnessing a biofeedback resource.

In some implementations, a user can play a music track from a dynamically generated playlist. The user can provide input indicating that the user likes or dislikes the music track and the playlist can be adjusted based on the user input. In some implementations, information can be presented to the user so that the user can preview changes to the playlist before the changes are made to the playlist. In some implementations, a user can adjust playlist criteria (configuration) by adjusting specific music characteristics. In some implementations, a user can adjust playlist criteria by manipulating a list of representative music tracks. In some implementations, a user can compare the user's playlist to playlists of other users.

An automated music composition and generation system having an automated music composition and generation engine for receiving, storing and processing musical experience descriptors and time and/or space parameters selected by the system user. The automated music composition and generation engine includes a user taste generation subsystem for automatically (i) determining the musical tastes and preferences of a system user based on user feedback and autonomous piece analysis, (ii) maintaining a system user profile reflecting musical tastes and preferences of each system user, and (iii) using the musical taste and preference information to change or modify the musical experience descriptors provided to the system to produce a digital piece of composed music composition that better reflects the musical tastes and preferences of the system user.

Music may be generated by electronically applying one or more functions that change a compositional nature of a musical input in a first tonality to generate a musical output in a second tonality in response to an event in a videogame. Data corresponding to the output melody may be recorded in a recording medium.

Techniques are disclosed relating to determining composition rules, based on existing music content, to automatically generate new music content. In some embodiments, a computer system accesses a set of music content and generates a set of composition rules based on analyzing combinations of multiple loops in the set of music content. In some embodiments, the system generates new music content by selecting loops from a set of loops and combining selected ones of the loops such that multiple ones of the loops overlap in time. In some embodiments, the selecting and combining loops is performed based on the set of composition rules and attributes of loops in the set of loops.