Speech Enhancement (SpEn)
- Prof. Dr. ir. Emanuël A. P. Habets
2 SWS, benoteter Schein, Kredit: 2/2, ECTS-Studium, ECTS-Credits: 2,5, Sprache Englisch
Zeit und Ort: Mi 8:15 - 9:45, 3R4.04; Bemerkung zu Zeit und Ort: Die Veranstaltung findet im Gebäude des Fraunhofer IIS in Tennenlohe, Am Wolfsmantel 33 statt.
- Studienfächer / Studienrichtungen
- WF WING-MA 1-4
WPF EEI-MA-INT ab 1
WPF EEI-BA-INT 5-6
WPF WING-DH 6-10
WPF IuK-MA-MMS-EEI 1-4
WPF IuK-MA-ÜTMK-EEI 1-4
WPF IuK-MA-REA-EEI 1-4
WPF IuK-MA-MMS 1-4
WPF CME-MA ab 1
WF ASC-MA ab 1
- Course Description
We live in a noisy world! In all applications that are related to speech from sound recording, hands-free communication, teleconferencing, hearing aids, cochlear implants, to human-machine interfaces, 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 speech can be greatly reduced. Therefore, it is highly desirable, and sometimes even indispensable, to "clean up" the noisy microphone signals using digital signal processing techniques before transmission or reproduction.
This course is about speech enhancement. Different well known and state-of-the-art 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 Mensch-Maschine-Schnittstelle (by Prof. Rabenstein) and Selected Topics in Perceptual Audio Coding (Prof. Herre), which deal with many other signal processing methods and gives an understanding of human auditory perception (also a key part of speech enhancement) and speech and audio compression techniques.
- Speech Enhancement
- Credits: 2,5
- Signals and Systeme I & II
Digital Signal Processing
- Zusätzliche Informationen
- Schlagwörter: speech, audio, signal processing, AudioLabs, Sprachverarbeitung
Erwartete Teilnehmerzahl: 15, Maximale Teilnehmerzahl: 30
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2016/2017:
- Advanced Audio Processing (AAP)
- Speech Enhancement (SpEn)
- Institution: International Audio Laboratories Erlangen (AudioLabs)