Allgemeine Informationen
Veranstaltungsname | Vorlesung: 5.04.4643 Adaptive systems for speech signal processing |
Untertitel | |
Veranstaltungsnummer | 5.04.4643 |
Semester | SoSe2022 |
Aktuelle Anzahl der Teilnehmenden | 12 |
Heimat-Einrichtung | Institut für Physik |
Veranstaltungstyp | Vorlesung in der Kategorie Lehre |
Erster Termin | Montag, 25.04.2022 12:15 - 13:45, Ort: W04 1-172 |
Art/Form | VL,Ü |
Teilnehmende |
1. Fundamentals of speech signals and systems - Linear algebra review - Fundamental tasks of speech adaptive filters: identification, filtering, prediction, equalization - MMSE filter (Wiener solution) - Method of least squares 2. Recursive Algorithms for Speech Adaptive Filtering - Control loop approach - Normalized least-mean squares (NLMS) - Recursive least-squares (RLS) - Frequency-domain adaptive filter (FDAF) - Kalman filter (state estimation) 3. Time-variant systems in speech applications - State-space modeling - Acoustic state space - Application 1: hands-free communication systems - Application 2: HRTF-measurement for virtual reality 4. Blind system identification - Minimum-eigenvalue approach - Maximum-eigenvalue approach (PCA) - System identifiability conditions - Measures for system distance - Application 1: binaural speech enhancement - Applications 2: acoustic sensor networks for speech 5. Nonlinear systems - Definitions and measures of nonlinearity - Applications of robust linearizations - Nonlinear modeling and identification - Application: Nonlinear loudspeaker in hands-free speech communication systems |
Voraussetzungen | Signals and Systems, Signal Processing |
Lehrsprache | englisch |