Moses - Sprachsignalverarbeitung und Sprachtechnologie

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2014 - SS 2014. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40721 / #1

Validity:
SS 2014 - SS 2014

Default display language:
English

Module title:
Sprachsignalverarbeitung und Sprachtechnologie
Speech Signal Processing and Speech Technology

Credits:
6

Responsible person:
Möller, Sebastian

Grading:
benotet

Type of exam:
Mündliche Prüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34355300 FG S-Professur Quality and Usability

Prüfungsausschuss:
No information

Kontakt

Office:
TEL 18

Contact person:
Jettkowski, Tobias

E-mail address:
module@qu.tu-berlin.de

Website:

http://www.qu.tu-berlin.de/menue/studium_und_lehre/

Learning Outcomes

The students gain: - Understanding of the most important principels of acoustical human-computer interaction. - Basic knowledge of the production, transmission and perception of speech signals. - Basic knowledge of the transmission and coding of speech and audio signals - Basic knowledge of speech-technological systems (speech recognition, speech synthesis, spoken dialogue systems) - Practical experience in the design of acoustical human-computer interfaces. - Presentation and knowledge transfer skills The course is principally designed to impart: technical skills 40% method skills 40% system skills 10% social skills 10%

Content

IV „Speech Communication“: Speech signals and phones; Human speech production; Speech signal analysis; Auditory perception; Speech signal transmission and coding; Speech and speaker recognition; Speech synthesis; Spoken dialogue systems; Multimodal dialogue systems

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Speech Communication	IV		WiSe	No information	4

Workload and Credit Points

Speech Communication (IV):

Workload description	Multiplier	Hours	Total
Präsenzzeit	15.0	4.0h	60.0h
Vor-/Nachbereitung	15.0	8.0h	120.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lecture: Lectures with practical demonstrations. Exercise: Practical and theoretical excercises.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Mandatory: None Desirable: Basic knowledge of signal processing.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral 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 60.

Registration Procedures

No prior registration required. Registration for the exam through QISPOS.

Recommended literature
[1] Vary, P., Heute, U., Hess, W. (1998). Digitale Sprachsignalverarbeitung. Stuttgart: Teubner.
[2] O’Shaughnessy, Douglas (2000). Speech Communications. Human and Machine. New York: IEEE Press.

Assigned Degree Programs

This module is not used in any degree program.

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

Master Technische Informatik: Technische Anwendungen Master Technische Informatik (StO/PO 2012): Kognitive Systeme (Kognitive Systems and Robotics; Informatik) Master Human Factors: Informations- und Kommunikationstechnologien Master Audiokommunikation und -technologie

Miscellaneous

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

Sprachsignalverarbeitung und Sprachtechnologie