Unmixing Acoustic Sources in Real Reverberant Environments for Close-Microphone Applications
When recording multiple musicians with close microphones in a real space, each microphone captures both the sound of the intended instrument and the undesired interference from other sources. The blind source separation (BSS) framework can be employed in order to suppress the leakage components. However typical convolutive BSS algorithms—attempting to blindly identify and invert the acoustic mixing system, which comprises several room impulse responses—do not achieve the desired result. In comparison, a Wiener filter was found to achieve superior performance in the separation of two audio sources, while being simple and computationally efficient.
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