• DocumentCode
    431335
  • Title

    Segmentation-Based Speech Enhancement for Intelligibility Improvement in MELP Coders Using Auxiliary Sensors

  • Author

    Demiroglu, Cenk ; Kamath, Sunil D. ; Anderson, David V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    797
  • Lastpage
    800
  • Keywords
    acoustic noise; linear predictive coding; military communication; signal denoising; speech coding; speech enhancement; speech intelligibility; DRT scores; M2 tank noise; MELP speech encoder; acoustic microphone; auxiliary sensors; broad phonetic classes; diagnostic rhyme tests; front end; maximum noise suppression; military applications; minimal distortion; noisy environments; perceptually important cues; phoneme class; speech coders; speech enhancement; speech intelligibility improvement; speech signal segmentation; spoken words; Acoustic devices; Acoustic distortion; Acoustic noise; Acoustic sensors; Application software; Filters; Microphones; Military computing; Speech enhancement; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415234
  • Filename
    1415234
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431335