According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. In some embodiments, an embodiment is provided with a database that contains harmony templates which can be used by the user to augment the playback of a given music work. Various embodiments of the instant invention also benefit from a combination of expert knowledge resident in an expert engine which contains rules for musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of compatible audio loops from a database of audio loops.

Disclosed herein is a sound synthesis system for generating a user defined synthesised sound effect, the system comprising: a receiver of user defined inputs for defining a sound effect; a generator of control parameters in dependence on the received user defined inputs; a plurality of sound effect objects, wherein each sound effect object is arranged to generate a different class of sound and each sound effect object comprises a sound synthesis model arranged to generate a sound in dependence on one or more of the control parameters; a plurality of audio effect objects, wherein each audio effect object is arranged to receive a sound from one or more sound effect objects and/or one or more other audio effect objects, process the received sound in dependence on one or more of the control parameters and output the processed sound; a scene creation function arranged to receive sound output from one or more sound effect objects and/or audio effect objects and to generate a synthesised sound effect in dependence on the received sound; and an audio routing function arranged to determine the arrangement of audio effect objects, sound effect objects and scene creation function such that one or more sounds received by the scene creation function are dependent on the audio routing function; wherein the determined arrangement of audio effect objects, sound effect objects and the scene creation function by the audio routing function is dependent on the user defined inputs.

Systems and methods for generating a visual color display of audio-file data are provided. The system includes a processor that performs a method including receiving audio-file data; generating filtered-audio data by processing the audio-file data by frequency-band filters. The frequency band filters have different frequency bands. The method includes generating one or more waveforms corresponding to the filtered-audio data and displaying the waveforms superimposed in unique color relative to one another. The method includes downsampling the waveforms. The method includes processing the waveforms through an envelope detector. The method includes processing the waveforms through an expander and applying a gain factor. The waveforms have transparency levels at sections that are proportional or inversely proportional to amplitudes at the sections.

A music composition, editing, and playback system and method provides a user interface design based on geometric interpretation of music theory replacing traditional modern music notation with geometric shapes including chords represented by polygons that are colored with colors or hues.

Sound equipment includes: a beat position acquiring unit configured to analyze a beat position of music piece data to be reproduced or acquire an analysis result; and a beat position displaying unit configured to display a scale of a differential numerical value of the number of beats in a plus direction and a minus direction of the music piece data with reference to a currently reproduced position of the music piece data.

Methods, systems and computer program products are provided for identifying an audio stem. Audio stems (t.sub.1, . . . , t.sub.N) are stored on a stem database and songs (S.sub.1, . . . , S.sub.P) made with at least a subset of the plurality of the audio stems (t.sub.1, . . . , t.sub.N) are stored on a song database. At least partially composed song (S*) having a predetermined number of pre-selected stems (k) are received. In turn, a probability vector (or relevance value or ranking) is produced for each stem (t.sub.1, . . . , t.sub.N) to be complementary to the at least partially composed song (S*).

Methods, systems and computer program products are provided for determining acoustic feature vectors of query and target items in a first vector space, and mapping the acoustic feature vectors to a second vector space having a lower dimension. The distribution of vectors in the second vector space can then be used to identify items from the same songs, and/or items that are complementary. A mapping function is trained using a machine learning algorithm, such that complementary audio items are closer in the second vector space than the first, according to a given distance metric.

Techniques are provided for generating an output file. One technique involves the steps of generating audio or MIDI content blocks from one or more musical performances; receiving an input file having audio or MIDI music content; generating a harmonic chord map for the input file; using the harmonic chord map to automatically select a subset of the audio or MIDI content blocks, and generating the output file by combining the selected subset of content blocks and the input file. This technique may enable the creation of unique and new musical accompaniments by re-purposing audio or MIDI content from back catalogs and/or out-takes of musical works. The new arrangement may be provided in multiple music styles, genres, or moods and may contain performances from multiple musical instruments, which may be pre-recorded from live instrument performances and/or of MIDI generated musical content.

A music generation system is provided comprising a processor and a memory operatively coupled to the processor and storing a rhythm template database comprising a plurality of rhythm templates, and a music generation program stored in the memory and executed by the processor to be configured to receive a user input of lyrics, identify a plurality of syllables in the lyrics, determine a syllable pattern in the identified plurality of syllables, match the syllable pattern to a selected rhythm template of the plurality of rhythm templates, generate a melody based on the selected rhythm template, generate a music file encoding the melody and the lyrics, and output the music file encoding the melody and the lyrics.

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.