Akustik sinyallerin ayristirilmasi için yeni bir yaklasim: En Büyük Alan Parametresi

Translated title of the contribution: A new approach for discriminating the acoustic signals: Largest area parameter (LAP)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Feature extraction of sound signals is essential for the performance of applications such as pattern and voice recognition etc. In this study, a method based on a novel feature is proposed to separate pathological human voice signals from healthy ones as well as to separate subgroups of pathological voices from each other. The voices are examined in time-frequency domain. Their differences obtained from the results of the proposed method are investigated and the mechanism of the method is demonstrated using experimental cases. It is concluded that the method succeeds to discriminate the voices marked 'healthy' and 'pathological'.

Translated title of the contributionA new approach for discriminating the acoustic signals: Largest area parameter (LAP)
Original languageTurkish
Title of host publication26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538615010
DOIs
Publication statusPublished - Jul 5 2018
Event26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey
Duration: May 2 2018May 5 2018

Publication series

Name26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
CountryTurkey
CityIzmir
Period5/2/185/5/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

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  • Cite this

    Ankishan, H., & Inam, S. C. (2018). Akustik sinyallerin ayristirilmasi için yeni bir yaklasim: En Büyük Alan Parametresi. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404152