Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 12, Issue 3 (2001)
  4. Synthesized Fricative ch Specific Featur ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • More
    Article info Related articles

Synthesized Fricative ch Specific Features and Influence on Speech Quality Analysis
Volume 12, Issue 3 (2001), pp. 477–486
Marija Žintelytė   Irmantas Kandratavičius  

Authors

 
Placeholder
https://doi.org/10.3233/INF-2001-12309
Pub. online: 1 January 2001      Type: Research Article     

Received
1 February 2001
Published
1 January 2001

Abstract

One of speech synthesis main problems is synthesis of unvoiced fricatives. One of our previously stated conclusions is that consonant x is influenced by before and behind existing phonetic elements. The aim of experiments described in this paper is to evaluate influence of different x allophones for speech intelligibility and automatic speech recognition.
In this paper the formal system, which describes allophones and, at the same time, phonemes interrelations in their possible sequences in natural language, is described. The formal system is necessary for automatic speech synthesis questions' solution. The experiments of two different types were carried out in order to evaluate the resemblance between two different ωx allophones: a) ωx allophones resemblance analysis based on expert evaluation; b) ωx allophones resemblance analysis based on automatic speech recognition results evaluation.
Experiment's results corroborated that ch allophones differ and depend from the context, i.e., from neighboring vowels, different ch allophones have influence on speech intelligibility, and therefore different ch allophones for high quality speech must be synthesized.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
speech synthesis unvoiced fricatives formal system expert evaluation speech recognition context influence speech quality

Metrics
since January 2020
380

Article info
views

0

Full article
views

159

PDF
downloads

188

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy