A pattern recognition based esophageal speech enhancement system

A. Mantilla-Caeiros, M. Nakano-Miyatake, H. Perez-Meana

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A system for improving the intelligibility and quality of alaryngeal speech based on the replacement of voiced segments of alaryngeal speech with the equivalent segments of normal speech is proposed. To this end, the system proposed identifies the voiced segments of the alaryngeal speech signal by using isolate speech recognition methods, and replaces them by their equivalent voiced segments of normal speech, keeping the silence and unvoiced segments without change. Evaluation results using objective and subjective evaluation methods show that the proposed system proposed provides a fairly good improvement of the quality and intelligibility of alaryngeal speech signals.

Original languageEnglish
Pages (from-to)56-71
Number of pages16
JournalJournal of Applied Research and Technology
Volume8
Issue number1
DOIs
StatePublished - Apr 2010

Keywords

  • Electronic larynx
  • Esophageal speech
  • Multilayer perceptron
  • Speech enhancement
  • Speech synthesis
  • Voiced and unvoiced segments detection

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