• DocumentCode
    1724310
  • Title

    An Improved Design for Speech Denoising

  • Author

    Kong, Zhou ; Liu, Yujun ; Liu, Kesheng ; Jiang, Meilei

  • Author_Institution
    Dept. of Inf. Eng., Acad. of Armored Forces Eng., Beijing
  • fYear
    2008
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    In high-noise environment, the background noises have greatly bad influence on the speech recognition and its transmission quality. The speech extraction and the noise reduction are long-term questions which the communication system has not solved effectively all the while. In this paper, we propose an improved system solution based on the combination of the bone-conduction sensor, a digital signal processor contained denoising algorithms and an active noise reduction part. At the beginning, the bone-conduction sensor is used to gather the voice. Next, the collected noisy speech signal is enhanced with spectral subtraction algorithm. Then the enhanced signal is detected with the improved short-time energy voice activity detection algorithm based on the Mel frequency. Finally we employ the ANR technology in the receiver. We have designed a prototype system based on the wireless platform. The results of tests show that it achieves better progress in anti-noise performance.
  • Keywords
    signal denoising; spectral analysis; speech processing; speech recognition; active noise reduction; bone-conduction sensor; digital signal processor; improved short-time energy voice activity detection algorithm; spectral subtraction algorithm; speech denoising; speech extraction; speech recognition; Active noise reduction; Background noise; Detection algorithms; Digital signal processors; Noise reduction; Sensor systems; Signal detection; Signal processing algorithms; Speech enhancement; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies, 2008. ISCIT 2008. International Symposium on
  • Conference_Location
    Lao
  • Print_ISBN
    978-1-4244-2335-4
  • Electronic_ISBN
    978-1-4244-2336-1
  • Type

    conf

  • DOI
    10.1109/ISCIT.2008.4700170
  • Filename
    4700170