The invention discloses a method and a device for automated harmonization of digital audio signals with a target frequency, wherein the digital audio signal is pitch-shifted. In one embodiment of the invention the target frequency is the frequency of a tinnitus sound. Therefore, the method according to the invention is usable in the context of tinnitus treatment.

A method for automating audio mashup production is disclosed. First, two or more audio files are received. Based on two or more audio files, two or more stem audio files and reference metadata associated with the two or more audio files are retrieved from a server. Each of the two or more stem audio files includes at least one of an instrument portion or a vocal portion that are included in the two or more audio files. After retrieval of the two or more stem audio files and the reference metadata, at least some musical parameters associated with segments of the two or more stem audio files are adjusted. Thereafter, the two or more stem audio files or adjusted segments of the two or more stem audio files can be combined into a single audio file. The single audio file is output to a user device.

A singing voice conversion system configured to generate a song in the voice of a target singer based on a song in the voice of a source singer is disclosed. The embodiment utilizes two complementary approaches to voice timbre conversion. Both combine the natural prosody of a source singer with the pitch of the target singertypically the user of the systemto achieve realistic sounding synthetic singing. The system is able to transpose the key of any song to match the automatically determined or desired pitch range of the target singer, thus allowing the system to generalize to any target singer, irrespective of their gender, natural pitch range, and the original pitch range of the song to be sung.

A method for generating voice identifications for MIDI (Musical Instrument Digital Interface) note signals. The method provides voice identification for every note in MIDI signals, which makes music learning intuitive and easier. The method can be used with any MIDI instruments as a separate unit, or a part of such instruments. Solfege is used as voice identification system since it is widely used in music education. However, any such system can be used or newly devised by preparing a different set of patches.

A system, method and computer product for combining audio tracks. In one example embodiment herein, the method comprises determining at least one music track that is musically compatible with a base music track, aligning those tracks in time, and combining the tracks. In one example embodiment herein, the tracks may be music tracks of different songs, the base music track can be an instrumental accompaniment track, and the at least one music track can be a vocal track. Also in one example embodiment herein, the determining is based on musical characteristics associated with at least one of the tracks, such as an acoustic feature vector distance between tracks, a likelihood of at least one track including a vocal component, a tempo, or musical key. Also, determining of musical compatibility can include determining at least one of a vertical musical compatibility or a horizontal musical compatibility among tracks.

A method for generating voice identifications for MIDI (Musical Instrument Digital Interface) note signals. The method provides voice identification for every note in MIDI signals, which makes music learning intuitive and easier. The method can be used with any MIDI instruments as a separate unit, or a part of such instruments. Solfege is used as voice identification system since it is widely used in music education. However, any such system can be used or newly devised by preparing a different set of patches.

A method of generating an audio output file via a computer system includes receiving one or more audio files including musical tracks; separating each audio file into at least one selectable audio block; selecting an audio block and analysing the harmonic chord structure of the musical track; determining a new harmonic chord structure; and adapting the musical track to the new harmonic chord structure. The system for outputting an audio file includes a unique identifier module; a chord progression constructor; an instrument role allocator; a melodic DNA transposer; a musical elements analyst; an element selector module; an integration & adaptation module; a genre application module; an integration & adaptation module; and a genre application module. The system includes an interactive user editing control panel, aimed at offering extensive control over various musical aspects within an AI generated music track. The output file can be an audio file or MIDI file.

A system, method and computer product for combining audio tracks. In one example embodiment herein, the method includes determining at least one music track from a plurality of music tracks that is musically compatible with a base music track based on at least respective cosine distances between an acoustic feature vector of the base music track and an acoustic feature vector of each of the plurality of music tracks. The method includes separating the at least one music track into an accompaniment component and a vocal component. The vocal component corresponds to vocals in at least a portion of the at least one music track. The method includes adding the vocal component of the at least one music track to at least a select segment of the base music track.

The invention relates to a musical instrument, characterised in that the instrument is designed such that any tonal spaces can be both expanded and modulated/are both expanded and modulated in use, either on the basis of prime-number tone ratios, even those greater than five, or tempered tone ratios, in real time by means of prime number tone ratios, even those greater than five, or by means of tempered tone ratios.