230018 Modelling Conversational Speech: Theory and Practice (S) (WiSe 2016/2017)

Contents, comment

The course addresses the topic of conversational speech phenomena, such as disfluencies, and their implications for speech recognition and speech synthesis. Half of the sessions will be dedicated to the study of literature relevant to the field, the other half will address practical integration of the insights gained thereof.

In the practical sessions, students will learn to set up simple speech synthesis and recognition systems to study the implications of spontaneous speech for dialogue systems.

Basic knowledge is expected, but we will guide you all the way through technical questions! So if you are a linguist with little programming knowledge, or a programmer with little phonetic knowledge, come anyway if you are interested in the machine-language interface!

The course will be held in the pc-pool, however, it would be easier if every participant could bring their own laptop. To speed things up, students are asked to install and familiarize with some free software before the course starts:

Praat (For phonetic analyses)
Ipython / Jupyter Notebook (For basic and convenient python coding, e.g. available in the Anaconda Python distribution)
R (For statistic analyses, An example of good GUI is R Studio)

Requirements for participation, required level

Basic knowledge of phonetics, programming and statistics is required.

Bibliography

Literature will be available when the course starts. If you want to prepare literature beforehand, feel free to contact us.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 14-16 C01-277 17.10.2016-10.02.2017

Hide passed dates <<

Subject assignments

Module Course Requirements  
23-MeWi-HM3a Mathematisch-linguistische Sprachmodellierung Lehrveranstaltung III Study requirement
Student information
Lehrveranstaltung IV Study requirement
Student information
- Graded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Linguistik: Kommunikation, Kognition und Sprachtechnologie / Master (Enrollment until WiSe 19/20) 23-LIN-MaCL2; 23-LIN-MaPP_ver1   3  

Students are required to read and prepare literature for the weekly session, about one short paper or chapter per week (estimated 4-8 pages). Students are expected to be present and participate actively in both theoretical and practical sessions.

No eLearning offering available
Address:
WS2016_230018@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_77458888@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 0
Open email archive
Last update basic details/teaching staff:
Sunday, May 15, 2016 
Last update times:
Wednesday, May 11, 2016 
Last update rooms:
Wednesday, May 11, 2016 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Linguistics and Literary Studies
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=77458888
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
77458888