Blind source separation techniques

1. How does blind source separation work?
2. What is blind audio source separation?
3. What is source separation approach?
4. What is convolutive blind source separation?

How does blind source separation work?

Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual sources from the mixed signal, or at least to segregate a particular source.

What is blind audio source separation?

Blind Audio Source Separation (BASS) consists in recovering one or several source signals from a given mixture signal. Direct applications include real-time speaker separation for simultaneous translation, sampling of musical sounds for electronic music composition.

What is source separation approach?

Source separation, blind signal separation (BSS) or blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process.

What is convolutive blind source separation?

Convolutive blind source separation (CBSS) is one of the main branches in the field of intelligent signal processing. Inspired by the thought of sliding discrete Fourier transform (DFT), an idea of the sliding Z-transform is introduced in the present study.