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Prosody modelling for TTS systems using statistical methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985882%3A_____%2F12%3A00396591" target="_blank" >RIV/67985882:_____/12:00396591 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-34584-5_13" target="_blank" >http://dx.doi.org/10.1007/978-3-642-34584-5_13</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-34584-5_13" target="_blank" >10.1007/978-3-642-34584-5_13</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prosody modelling for TTS systems using statistical methods

  • Original language description

    The main drawback of older methods of prosody modelling is the monotony of the output, which is perceived as uncomfortable by the users, especially when listening to longer passages. The present paper proposes a prosodic generator designed to increase the variability of synthesized speech in reading devices for the blind. The method used is based on text segmentation into several prosodic patterns by means of vector quantisation and the subsequent training of corresponding HMMs (Hidden Markov Models) onF0 parameters. The path through the model's states is then used to generate sentence prosody. We also tried to utilize morphological information in order to increase prosody naturalness. The evaluation of the quality of the proposed prosodic generatorswas carried out by means of listening tests

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes i nComputer Science

  • ISBN

    9783642345838

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    174-183

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin

  • Event location

    Dresden

  • Event date

    Feb 21, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article