• DocumentCode
    3008287
  • Title

    Microphone Sensitivity Matching Based on Optimal Smoothing and Minimum Statistics

  • Author

    Dai Haotian ; Hong Jun

  • Author_Institution
    R&D Centre, LG Electron., Beijing, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this report, an experiment on noise detection in Motorola Lab was shown. And then it was estimated the noise power ratio under various noise types based on MSOS algorithm and VAD algorithm respectively. The result showed that the MSOS algorithm is found to be a better approach in terms of estimating the noise power ratio between two microphone channels than the VAD algorithm.
  • Keywords
    acoustic signal detection; microphones; smoothing methods; statistical analysis; MSOS algorithm; Motorola Lab; VAD algorithm; microphone sensitivity matching; minimum statistics; noise detection; noise power ratio; optimal smoothing method; Estimation; Frequency domain analysis; Microphones; Noise; Noise measurement; Sensitivity; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631319
  • Filename
    5631319
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3008287