Robustness analysis of GSVD based optimal filtering and generalized sidelobe canceller for hearing aid applications

Multi-microphone noise reduction techniques for hearing aid applications go together with the use of small-sized arrays. Considerable noise reduction can be achieved with such arrays, but at the expense of an increased sensitivity to model errors or a priori assumptions. We evaluate the robustness of the generalized sidelobe canceller (GSC) and a generalized singular value decomposition (GSVD) based optimal filtering technique both analytically and experimentally. Especially in complicated noise scenarios, the optimal filter appears to be more robust.