Publication result detail

Matlab Tool for Assistance in Learning English Words Pronunciation

MALUCHA, J.

Original Title

Matlab Tool for Assistance in Learning English Words Pronunciation

English Title

Matlab Tool for Assistance in Learning English Words Pronunciation

Type

Paper in proceedings (conference paper)

Original Abstract

This paper presents a MATLAB module to assist students in learning the correct pronunciation of individual English words. The measurement of pronunciation correctness is based on evaluation of prosodic speech parameters using three methods. A brief introduction to these prosodic parameters is given, along with a description of the developed tool. Program testing was performed with a native and non-native speaker.

English abstract

This paper presents a MATLAB module to assist students in learning the correct pronunciation of individual English words. The measurement of pronunciation correctness is based on evaluation of prosodic speech parameters using three methods. A brief introduction to these prosodic parameters is given, along with a description of the developed tool. Program testing was performed with a native and non-native speaker.

Keywords

speech signal, pronunciation, prosody

Key words in English

speech signal, pronunciation, prosody

Authors

MALUCHA, J.

RIV year

2024

Released

26.04.2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6030-0

Book

Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers

Edition

1

Pages from

162

Pages to

165

Pages count

4

URL

BibTex

@inproceedings{BUT188064,
  author="Jan {Malucha}",
  title="Matlab Tool for Assistance in Learning English Words Pronunciation",
  booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers",
  year="2022",
  series="1",
  pages="162--165",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2022.162",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3_DOI.pdf"
}