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Einrichtungen >> Technische Fakultät (TF) >> Department Elektrotechnik-Elektronik-Informationstechnik (EEI) >> International Audio Laboratories Erlangen (AudioLabs) >>

  Speech Enhancement (SpEn)

Dozent/in
Prof. Dr. ir. Emanuël A. P. Habets

Angaben
Vorlesung
Online
2 SWS, benoteter Schein, Kredit: 2/2, ECTS-Studium, ECTS-Credits: 2,5
für Gasthörer zugelassen, Sprache Englisch
Zeit: Di 14:15 - 15:45, Zoom-Meeting

Studienfächer / Studienrichtungen
WF WING-MA 1-4
WPF EEI-MA-INT ab 1
WPF EEI-BA-INT 5-6
WPF IuK-MA-MMS-EEI 1-4
WPF IuK-MA-ÜTMK-EEI 1-4
WPF IuK-MA-REA-EEI 1-4
WPF ICT-MA-MPS 1-4
WPF CME-MA ab 1
WF ASC-MA ab 1

Inhalt
Course Description
We live in a noisy world! In all applications that are related to speech from hands-free communication, teleconferencing, hearing aids, cochlear implants, to human-machine interfaces such as smart speakers, a speech signal of interest captured by one or more microphones is contaminated by noise and reverberation. Depending on the level of noise and reverberation, the quality and intelligibility of the captured speech can be greatly reduced. Therefore, it is highly desirable, and sometimes even indispensable, to "clean up" the noisy signals using signal processing techniques before storage, transmission or reproduction.

In this course both traditional and deep learning methods for noise reduction and dereverberation, with one or multiple microphones, are discussed.

The goal of this course is to provide a strong foundation for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement.

Relation to other courses
This course is the most advanced course offered by the university on this topic, and serves as an excellent basis from which to commence research in the area. Various aspects of the course bring students up to date with the very latest developments in the field, as seen in recent international conferences and journals. This course builds on Sprach- und Audiosignalverarbeitung (by Prof. Kellermann), and is well complimented by Selected Topics in Perceptual Audio Coding (Prof. Herre) and Auditory Models (Prof. Edler).

ECTS-Informationen:
Title:
Speech Enhancement

Credits: 2,5

Prerequisites
  • Signals and Systeme I & II
  • Digital Signal Processing

Zusätzliche Informationen
Schlagwörter: speech, audio, signal processing, AudioLabs, Sprachverarbeitung
Erwartete Teilnehmerzahl: 15, Maximale Teilnehmerzahl: 30
www: https://www.audiolabs-erlangen.de/fau/professor/habets/teaching/2021w-speech-enhancement
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt über: StudOn

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2021/2022:
Advanced Audio Processing (AAP)
Speech Enhancement (SpEn)

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