A chord identification method selects from among a plurality of chord identifiers a chord identifier that corresponds to an attribute of a piece of music represented by an audio signal, where the plurality of chord identifiers corresponds to respective ones of a plurality of attributes relating to pieces of music; and identifies a chord for the audio signal by applying a feature amount of the audio signal to the selected chord identifier.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops. Additionally, in some embodiments there is provided a method of energy-based song construction where the tracks of a multi-track work are balanced depending on the desired output volume level of the final project.

A system, method and computer product for training a neural network system. The method comprises applying an audio signal to the neural network system, the audio signal including a vocal component and a non-vocal component. The method also comprises comparing an output of the neural network system to a target signal, and adjusting at least one parameter of the neural network system to reduce a result of the comparing, for training the neural network system to estimate one of the vocal component and the non-vocal component. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate vocal or instrumental components of an audio signal, depending on which type of component the system is trained to estimate.

An integrated system and method that provides users with non-destructive ways of manipulating musical scores and or audio recordings for student practise, testing and assessment. The said integrated system and method allows users to create questions that utilise one or more of the manipulated items, present questions to a student, collect the said students answer and assess the said students answer. The said integrated system is delivered via digital devices including computers, tablets, smartphones and other such devices.

Example articles of manufacture and apparatus disclosed herein for producing supplemental information for audio signature data obtain the audio signature data of a first time period including data relating to at least one of time or frequency components representing a first characteristic of media. Disclosed examples also obtain first semantic audio signature data, for the first time period, that is a measure of generalized information representing characteristics of the media. Disclosed examples further store the audio signature data of the first time period in association with a second time period when it is determined that second semantic audio signature data for the second time period substantially matches the first semantic audio signature data for the first time period.

There is provided a post processing technique or method for separation algorithms to separate vocals from monaural music recordings. The method comprises detecting traces of pitched instruments in a magnitude spectrum of a separated voice using Hough transform and removing the detected traces of pitched instruments using median filtering to improve the quality of the separated voice and to form a new separated music signal. The method further comprises applying adaptive median filtering techniques to remove the identified Hough regions from the vocal spectrogram producing separated pitched instruments harmonics and new vocals while adding the separated pitched instruments harmonics to a music signal separated using any separation algorithm to form the new separated music signal.

Techniques for generating a virtual music experience. The techniques include source separating an arbitrary digital audio input into a plurality of source-separated tracks. Sets of music features are determined from the plurality of source-separated tracks and provided to a video presentation system at a video frame rate of the video presentation system. The providing the sets of music features to the video presentation system causes the video presentation system to animate one or more graphical assets based on the provided sets of music features.

The teachings described herein are generally directed to a system, method, and apparatus for separating and mixing tracks within music. The system can have a video that is synchronized with the variations in the musical tempo through a variable timing reference track designed and provided for a user of the preselected performance that was prerecorded, wherein the designing of the variable timing reference track includes creating a tempo map having variable tempos, rhythms, and beats using notes from the preselected performance.

For example, provided is an information processing device with which the entire performance can be felt really visually.

The information processing device TB according to the present invention includes a processor performing a reception process of receiving input of performance information including pitch information, a first image output process of outputting a first image according to the received performance information, a performance determination process of determining at least any of tonality, a chord type, and a pitch name on the basis of the received performance information, and second image output process of outputting a second image according to a result determined in the performance determination process.

An electronic device comprising a circuitry configured to perform (402; 602; 902; 1002) blind source separation (201) based on a received input signal (1) to obtain separated sources; to perform (403; 605; 906; 1005) time-domain filtering (202) on at least one of the separated sources to obtain at least one filtered separated source; and to perform (404; 606; 907; 1006) remixing or upmixing (203) based on the at least one filtered separated source.