Pronunciation detection for foreign language learning using MFCC and SVM

Jihyun Byun, Dustin van der Haar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


As technology improves, people around the world are given more effective tools to communicate with each other. This has caused a sensation of secondary language learning. Many countries have now included this as an obligatory component of their education systems. However, the lack of appointing right professionals has led to misleading the practicing the pronunciation of the new language, because students often follow the pronunciation that non-native teachers have. This paper aims to provide a model that has a potential to help learners with increasing the recipient for understanding the speaker. The model records the learner’s English pronunciation of a given context, analyses it and provides feedback on the screen. The system has shown an accuracy of 98.3%. Throughout the research we have discovered that several factors such as the learner’s predefined accent from his mother-tongue language, the noise level of an environment where the learner uses the system as well as different types of English accents interfere with providing accurate feedback to the learner.

Original languageEnglish
Title of host publicationInformation Science and Applications 2018 - ICISA 2018
EditorsKuinam J. Kim, Kuinam J. Kim, Nakhoon Baek
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9789811310553
Publication statusPublished - 2019
EventInternational Conference on Information Science and Applications, ICISA 2018 - Kowloon, Hong Kong
Duration: 25 Jun 201827 Jun 2018

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


ConferenceInternational Conference on Information Science and Applications, ICISA 2018
Country/TerritoryHong Kong


  • Biometrics
  • Education
  • Pronunciation
  • Signal processing

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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