In this paper, we propose a new method based on a coherent source spectral estimation for solving the permutation problem of frequency-domain blind source separation (BSS). It combines the robustness of the State Coherence Transform (SCT) to recursively estimate a smooth phase spectrum associated with each source and the precision of the inter-frequency correlation to solve for a correct permutation. Namely, the TDOAs estimated by the SCT are used to constrain the permutation correction process in order to force the resulting filters to be coherent across frequency. This intrinsic interconnection between the TDOA information and the spectral correlation makes the new approach robust even when the signal is short in duration and spatial aliasing is substantial. Experimental results show that the proposed method is able to drastically reduce the number of permutation errors for three sources recorded in a short time block using microphones with large spacing.

Coherent spectra estimation for a robust solution to the permutation problem

Nesta, Francesco;
2009

Abstract

In this paper, we propose a new method based on a coherent source spectral estimation for solving the permutation problem of frequency-domain blind source separation (BSS). It combines the robustness of the State Coherence Transform (SCT) to recursively estimate a smooth phase spectrum associated with each source and the precision of the inter-frequency correlation to solve for a correct permutation. Namely, the TDOAs estimated by the SCT are used to constrain the permutation correction process in order to force the resulting filters to be coherent across frequency. This intrinsic interconnection between the TDOA information and the spectral correlation makes the new approach robust even when the signal is short in duration and spatial aliasing is substantial. Experimental results show that the proposed method is able to drastically reduce the number of permutation errors for three sources recorded in a short time block using microphones with large spacing.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/12009
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact