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On the Objectivity of Prosodic Phrases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00503384" target="_blank" >RIV/49777513:23520/10:00503384 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the Objectivity of Prosodic Phrases

  • Original language description

    Objective annotation of prosodic phrases in a corpus for a text-to-speech system is an important issue due to its influence on the naturalness of synthesised speech. The paper discusses drawbacks of common ways of prosodic phrase annotation and proposesa concept of prosodic phrases defined by a maximum likelihood estimation over results of many parallel subjective annotations. Validity of this method is analysed in terms of agreement among the subjects using Cohen?s and Fleiss? kappa measures and heuristically modified relative agreement.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    The Phonetician

  • ISSN

    0741-6164

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    96

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database