Noise reduction for vocal pathologies.
A noise reduction scheme, particularly suited for the correction of vocal pathologies, is proposed. The filter makes use of concepts originated within the theory of dynamical systems and deterministic chaos. In particular, the idea of embedding scalar data in order to reconstruct a phase space is of fundamental importance here. Furthermore, the concept of an attractor as a result of dynamical constraints is exploited. In order to perform noise reduction one needs redundancy and the human voice provides it even within a phoneme, namely the smallest structural unit of speech. Due to several repetitions of a pattern called pitch inside a phoneme, separation between the pure voice signal and the noise is possible, provided the latter is uncorrelated with the former. With a proper parameter tuning, different kinds of noise can be removed. We describe the idea behind the noise reduction algorithm and present applications to vocal pathologies.
Matassini
L
L
Non-linear Time Series Analysis Group, Max-Planck-Institut für Physik komplexer Systeme, Nöthnitzer Str. 38, D 01187 Dresden, Germany. lorenzo@mpipks-dresden.mpg.de
Manfredi
C
C
D000465:Algorithms; D006801:Humans; D008954:Models, Biological; D009622:Noise / Q000517:prevention & control*; D017711:Nonlinear Dynamics; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013061:Speech Acoustics; D013064:Speech Disorders / Q000503:physiopathology* / Q000534:rehabilitation; D013067:Speech Perception