Predicting the Acoustic Confusability between Words for a Speech Recognition System using Levenshtein Distance

Authors

  • A. Zgank University of Maribor
  • Z. Kacic University of Maribor

DOI:

https://doi.org/10.5755/j01.eee.18.8.2628

Keywords:

Acoustic modeling, automatic speech recognition, human computer interaction, Levenshtein distance

Abstract

This paper proposes a new method for calculating acoustic confusability between words for automatic speech recognition. Acoustic confusability is one of the key elements influencing speech recognition accuracy. The proposed method is based on Levenshtein distance, calculated on phonetic transcriptions from the speech recognizer’s vocabulary. The method was evaluated in an indirect way. The experiments were carried out on four different sets of context-dependent acoustic models. The proposed method successfully predicted the acoustic confusability between words from the speech recognizer’s vocabulary.

DOI: http://dx.doi.org/10.5755/j01.eee.18.8.2628

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Published

2012-10-17

How to Cite

Zgank, A., & Kacic, Z. (2012). Predicting the Acoustic Confusability between Words for a Speech Recognition System using Levenshtein Distance. Elektronika Ir Elektrotechnika, 18(8), 81-84. https://doi.org/10.5755/j01.eee.18.8.2628

Issue

Vol. 18 No. 8 (2012)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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