Search for dissertations about: "Spoken dialogue system"

Showing result 1 - 5 of 16 swedish dissertations containing the words Spoken dialogue system.

  1. 1. Developing Multimodal Spoken Dialogue Systems Empirical Studies of Spoken Human–Computer Interaction

    University dissertation from Stockholm : KTH

    Author : Joakim Gustafson; KTH.; [2002]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Spoken dialogue system; multimodal; speech; GUI; animated agents; embodied conversational characters; talking heads; empirical user studies; speech corpora; system evaluation; system development; Wizard of Oz simulations; system architecture; linguis; TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : This thesis presents work done during the last ten years on developing five multimodal spoken dialogue systems, and the empirical user studies that have been conducted with them. The dialogue systems have been multimodal, giving information both verbally with animated talking characters and graphically on maps and in text tables. READ MORE

  2. 2. Dialogue processes in computer-mediated communication : a study of letters in the COM system

    University dissertation from Malmö : LiberFörlag

    Author : Kerstin Severinson Eklundh; Linköpings universitet.; Linköpings universitet.; [1986]
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Dialogue; Discourse analysis; Feedback; Question strategies; Written communication; Computer-mediated communication; Message systems; COM system; INTERDISCIPLINARY RESEARCH AREAS; TVÄRVETENSKAPLIGA FORSKNINGSOMRÅDEN;

    Abstract : This thesis concerns the basic communicative potentials of a new communications medium: computer-based communication systems. The computer medium has properties which makes it possible to carry out an interactive dialogue, although messages are written and there is a delay between successive contributions. READ MORE

  3. 3. Language Modelling and Error Handling in Spoken Dialogue Systems

    University dissertation from Linköping : Linköpings universitet

    Author : Genevieve Gorrell; Linköpings universitet.; Linköpings universitet.; [2004]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Language Modelling; Spoken Dialogue Systems; Error Handling; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap;

    Abstract : Language modelling for speech recognition is an area of research currently divided between two main approaches: stochastic and grammar-based approaches are each being differently preferred for their respective strengths and weaknesses. At the same time, dialogue systems researchers are becoming aware of the potential value of handling recognition failures better to improve the user experience. READ MORE

  4. 4. Error Handling in Spoken Dialogue Systems Managing Uncertainty, Grounding and Miscommunication

    University dissertation from Stockholm : KTH

    Author : Gabriel Skantze; KTH.; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; speech communications; linguistics; HUMANITIES and RELIGION Languages and linguistics Linguistic subjects Language technology; HUMANIORA och RELIGIONSVETENSKAP Språkvetenskap Lingvistikämnen Språkteknologi;

    Abstract : Due to the large variability in the speech signal, the speech recognition process constitutes the major source of errors in most spoken dialogue systems. A spoken dialogue system can never know for certain what the user is saying, it can only make hypotheses. READ MORE

  5. 5. Information state based speech recognition

    University dissertation from Stockholm : KTH

    Author : Rebecca Jonson; Göteborgs universitet.; Gothenburg University.; [2010]
    Keywords : HUMANIORA; HUMANITIES; dialogue systems; speech recognition; language modelling; dialogue move; dialogue context; ASR; higher level knowledge; linguistic knowledge; N-Best re-ranking; confidence scoring; confidence annotation; information state; ISU approach;

    Abstract : One of the pitfalls in spoken dialogue systems is the brittleness of automatic speech recognition (ASR). ASR systems often misrecognize user input and they are unreliable when it comes to judging their own performance. READ MORE