Recursively updated eigenfilterbank for speech enhancement

A novel signal subspace method for speech enhancement is proposed. The algorithm is derived from the filterbank interpretation of the truncated (quotient) singular value decomposition (T(Q)SVD) algorithm. We derive a recursive version of this algorithm which results in a recursively updated eigenfilterbank. The proposed method benefits from a low system delay and a low amount of musical noise in the enhanced speech signal.