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Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898189" target="_blank" >RIV/49777513:23520/11:43898189 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-23538-2_22" target="_blank" >http://dx.doi.org/10.1007/978-3-642-23538-2_22</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-23538-2_22" target="_blank" >10.1007/978-3-642-23538-2_22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours

  • Original language description

    In this paper, we present the results of a clustering experiment, the aim of which was to show whether or not the proximity of pitch contours is sufficient condition for perceptually smooth transitions at concatenation points in concatenative speech synthesis. The experiment was motivated by a previous finding which had shown that the support vector machine (SVM) classifiers are capable of separating with a high accuracy perceptually continuous and discontinuous joins using the pitch contours extractedfrom the vicinity of concatenation points as predictors. The experiment has shown that clustering of observations in a form of pitch contours represented in different scales using the euclidean distance as a metric does not prove to be a reliable way ofidentifying discontinuities at concatenation points.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lecture Notes in Artificial Intelligence

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    2011

  • Issue of the periodical within the volume

    6836

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    8

  • Pages from-to

    171-178

  • UT code for WoS article

  • EID of the result in the Scopus database