All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Improved method of heuristic classification of vowels from an acoustic signal

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241596" target="_blank" >RIV/61989100:27240/18:10241596 - isvavai.cz</a>

  • Result on the web

    <a href="http://journals.tubitak.gov.tr/elektrik/issues/elk-18-26-6/elk-26-6-10-1801-292.pdf" target="_blank" >http://journals.tubitak.gov.tr/elektrik/issues/elk-18-26-6/elk-26-6-10-1801-292.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3906/elk-1801-292" target="_blank" >10.3906/elk-1801-292</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improved method of heuristic classification of vowels from an acoustic signal

  • Original language description

    This paper describes research in the field of the improved methodology of the classification of vowels /a, a:/ , /epsilon, epsilon:/ , /I, i:/ , /o, o:/ , and /u, u:/ (vowel symbols according to IPA, i.e. International Phonetic Alphabet). The aim is to develop an improved method enabling the automatic allocation of vowel symbols to the corresponding time segments of acoustic recordings of an undisturbed speech signal. The combined classification method is based on finding frequencies of the first two local maxims (formants) in a smoothed linear predictive amplitude spectrum (LPC, linear predictive coding) and zero-crossing values of each speech active voiced short-term segment of the recording. Based on these monitored values, simple heuristic conditions are arranged for the classification of the respective vowel. Implementation of the algorithm was realized using the MATLAB environment and its Graphical User Interface (GUI) was used for the user interaction. Verification of the success rate of vowel classification was done using recordings of forty speakers (twenty men and twenty women), where each speaker repeated the vowels repeatedly with short successive pauses. The success rate of recognizing vowels is classified and evaluated based on results obtained from our designed method.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Turkish Journal of Electrical Engineering and Computer Sciences

  • ISSN

    1300-0632

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    TR - TURKEY

  • Number of pages

    6

  • Pages from-to

    2900-2914

  • UT code for WoS article

    000454658300010

  • EID of the result in the Scopus database