SIN04 Speech interaction and social networks

Faculty of Informatics
Autumn 2019
Extent and Intensity
0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
Mgr. Luděk Bártek, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 12:00–13:50 B410
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The main objective of the course is to present basic technologies of the dialogue communication and its application in social networks.
Learning outcomes
After the course the student is able to:
  • describe the meaning of social network
  • describe basic principles of human to human and human to computer dialogue communication
  • describe the relation between emotions and prosody and how they act in social interaction using dialogue communication
  • propose and verify correctness and usability of dialogue communication for particular purpose
  • propose, verify and optionally implement a dialogue interface for particular social network.
    • Syllabus
    • Speech communication and its social consequences.
    • Speech synthesis - the basic principles and phases of the time domain speech synthesis, phonetic transcription, prosody. Practical tests of freely available text-to-speech synthesis systems. SSML - basics of syntax and its fields of application.
    • Speech recognition - basic principles, tools for improvement of ASR accuracy, semantic interpretation of recognized speech.
    • Human to human and human to computer dialogue communication, social aspects of dialogue systems.
    • Principle terms - dialogue, utterance, turn, dialogue system, dialogue strategy. Methods of dialogue system implementation. IT supported methods of human to human and human to computer dialogue communication.
    • W3C VoiceBrowser Activity - standards. Simple W3C VoiceBrowser Activity standards based dialogue systems design using the system and mixed initiative dialogue strategy.
    • User modelling, modelling of computer emotions using a prosody.
    • Social networks - social networking basics, types of social networks, state of the art of dialogue/discussion in the social networks, future prospects of dialogue communication in the social networks.
    • Team project in the area of social networks and dialogue communication.
    Literature
    • LAMSER, Václav. Komunikace a společnost : úvod do teorie společenské komunikace. Vyd. 1. Praha: Academia, 1969, 298 s. info
    • PSUTKA, J. Komunikace s počítačem mluvenou řečí. Praha: Academia, 1995. info
    • Handbook of multimodal and spoken dialogue systems :resources, terminology and product evaluation. Edited by Dafydd Gibbon - Inge Mertins - Roger K. Moore. Boston: Kluwer Academic Publishers, 2000, xviii, 519. ISBN 0-7923-7904-7. info
    • KNOKE, David. Social network analysis. Edited by Song Yang - David Knoke. 2nd ed. Los Angeles: Sage Publications, 2008, viii. ISBN 9781412927499. info
    • SCOTT, John. Social network analysis :a handbook. Newbury Park, Calif.: SAGE Publications, 1991, x, 210 p. ISBN 0-8039-8481-2. info
    • Models and methods in social network analysis. Edited by Peter J. Carrington - John Scott - Stanley Wasserman. New York: Cambridge University Press, 2005, xiv, 328. ISBN 9780521600972. URL info
    Teaching methods
    Theoretical Lectures with practically oriented seminars.
    Assessment methods
    Each student presents a lecture on a selected topic and works in a team of 2 or 3 students on a project. The project is argued at the end of the semestr.
    Language of instruction
    Czech
    Further Comments
    Study Materials
    The course is taught last offered.
    The course is also listed under the following terms Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018.
    • Enrolment Statistics (recent)
    • Permalink: https://is.muni.cz/course/fi/autumn2019/SIN04