title: Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets.
abstract: In this paper, we develop a system for enhancement of the speech signal with highest energy from a linear convolutive mixture of n statistically independent sound sources recorded by m microphones, where m<n. In this system we use the concept of independent component analysis (ICA) along with adaptive auditory filter banks and pitch tracking. Computer simulations and real-world experiments carried out in an actual room and measured through objective and subjective measures confirm the validity of the proposed algorithm.
authors.affiliation: RIKEN, Japan.
authors.forename: A K
authors.initials: AK
authors.lastname: Barros
authors.forename: T
authors.initials: T
authors.lastname: Rutkowski
authors.forename: F
authors.initials: F
authors.lastname: Itakura
authors.forename: N
authors.initials: N
authors.lastname: Ohnishi