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WS 2015/16 - WS 2015/16

English

Computer-Supported Interaction

3

Möller, Sebastian

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34355300 FG S-Professur Quality and Usability

No information

Kontakt


TEL 18

Jettkowski, Tobias

module@qu.tu-berlin.de

Learning Outcomes

Students gain - Understanding of the most important principles of human-computer interaction. - Basic knowledge of multimodality and multimodal interacttion. - Basic knowledge of the gestural interaction. - Basic knowledge of speech production and perception. - Basic knowledge of speech recognition, acoustic feature extraction, and sequence modeling. - Basic knowledge of audio-visual and multimodal speech recognition. - Basic knowledge of machine learning and data mining. - Basic knowledge of machine translation and dialogue systems. - Presentation and knowledge transfer skills. Students will be able to - use the learned knowledge for designing exemplary human-computer interfaces

Content

IV „Computer-supported Interaction“: This course gives an overview over statistical methods and their application on speech recognition, extraction of metadata (identity, age, gender, speech), audio-visual speech recognition, multi-lingual speech recognition, speech translation, multimodal interfaces: applications and technology (multimodal fusion und fission), Information Retrieval, Beamforming and microphon-arrays.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Computer-supported InteractionIV0434 L 903WiSeNo information2

Workload and Credit Points

Computer-supported Interaction (IV):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.02.0h30.0h
Vor-/Nachbereitung15.04.0h60.0h
90.0h(~3 LP)
The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Lecture part: Lecture with practical presentations. Seminar part: Practical and theoretical presentations by students (optional).

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic knowledge of communications engineering and digital signal processing.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

English

Duration/Extent

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Registration for the courses not necessary. Registratation for the exam through QISPOS or the examination office.

Recommended reading, Lecture notes

Lecture notes

Availability:  available

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
Bernd Pompino-Marschall: „Einführung in die Phonetik“ (de Gruyter, 1995)
Fred Jelinek: „Statistical methods for speech processing“ (MIT, 1997)
Keinosuke Fukunaga: „Statistical Pattern Recognition“ (Academic Press, 1990)
Laurence Rabiner and Biing-Hwang Juang: Fundamentals of speech recognition“ (Prentice Hall, 1993)
Richard O. Duda, Peter E. Hart, David G. Stork: „Pattern Classification“ (Wiley, 2000)
Tanja Schultz und Katrin Kirchhoff: "Multilingual Speech Processing" (Academic Press, 2006)
Thomas H. Cormen: „Introduction to Algorithms“ (MIT, 1990)

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

The topics of the module can serve as a foundation of a bachelor or master thesis in the area.