A fuzzy logic approach to improve phone segmentation a case study of the Dutch language

Victor Milewski, Aysenur Bilgin, Tufan Kumbasar

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

Abstract

Phone segmentation is an essential task for Automatic Speech Recognition (ASR) systems, which still lack in performance when compared to the ability of humans' speech recognition. In this paper, we propose novel Fuzzy Logic (FL) based approaches for the prediction of phone durations using linguistic features. To the best of our knowledge, this is the first development and deployment of FL based approaches in the area of phone segmentation. In this study, we perform a case study on the Dutch IFA corpus, which consists of 50000 words. Different experiments are conducted on tuned FL Systems (FLSs) and Neural Networks (NNs). The experimental results show that FLSs are more efficient in phone duration prediction in comparison to their Neural Network counterparts. Furthermore, we observe that differentiating between the vowels and the consonants improves the performance of predictions, which can facilitate enhanced ASR systems. The FLS with the differentiation between vowels and consonants had an average Mean Average Precision Error of 43.3396% on a k=3 fold. We believe that this first attempt of the employment of FL based approaches will be an important step for a wider deployment of FL in the area of ASR systems.

Original languageEnglish
Title of host publicationIJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence
EditorsChristophe Sabourin, Juan Julian Merelo, Una-May O'Reilly, Kurosh Madani, Kevin Warwick
PublisherSciTePress
Pages64-72
Number of pages9
ISBN (Print)9789897582745
DOIs
Publication statusPublished - 2017
Event9th International Joint Conference on Computational Intelligence, IJCCI 2017 - Funchal, Madeira, Portugal
Duration: 1 Nov 20173 Nov 2017

Publication series

NameIJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence

Conference

Conference9th International Joint Conference on Computational Intelligence, IJCCI 2017
Country/TerritoryPortugal
CityFunchal, Madeira
Period1/11/173/11/17

Bibliographical note

Publisher Copyright:
© 2017 by SCITEPRESS - Science and Technology Publications, Lda.

Keywords

  • Automatic Speech Recognition
  • Fuzzy Logic Systems
  • IFA Corpus
  • Phone Segmentation

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