• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Teager energy based feature parameters for speech recognition in car noise

      Thumbnail
      View / Download
      104.7 Kb
      Author(s)
      Jabloun, F.
      Çetin, A. Enis
      Erzin, E.
      Date
      1999-10
      Source Title
      IEEE Signal Processing Letters
      Print ISSN
      1070-9908
      Publisher
      Institute of Electrical and Electronics Engineers
      Volume
      6
      Issue
      10
      Pages
      259 - 261
      Language
      English
      Type
      Article
      Item Usage Stats
      209
      views
      363
      downloads
      Abstract
      In this letter, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is introduced. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filterbank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse discrete cosine transform (DCT) computation. The new feature parameters have robust speech recognition performance in the presence of car engine noise.
      Keywords
      Acoustic noise
      Cosine transforms
      Digital filters
      Feature extraction
      Speech analysis
      Vectors
      Discrete cosine transform (DCT)
      Multirate signal processing
      Teager energy operator
      Speech recognition
      Permalink
      http://hdl.handle.net/11693/25195
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/97.789604
      Collections
      • Department of Electrical and Electronics Engineering 4011
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy