• DocumentCode
    3501480
  • Title

    Compressed domain noise reduction and echo suppression for network speech enhancement

  • Author

    Chandran, Ravi ; Marchok, Daniel J.

  • Author_Institution
    Tellabs Res. Center, Mishawaka, IN, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    10
  • Abstract
    Speech compression is widely used in especially in cellular telephony and voice over packet networks. Traditional network speech enhancement techniques, which operate on uncoded speech, require that the compressed speech be decoded. After performing echo cancellation and noise reduction, the speech is re-encoded for further transport. Due to the need for re-encoding the speech, such processing is computationally intensive, and especially prone to additional quantization noise. Furthermore, additional delay is incurred. In this paper, a direct compressed domain signal processing approach to speech enhancement is introduced. Methods for implementing acoustic echo control and noise reduction are discussed. The compressed domain approach is attractive due to reduced computational costs, delay and quantization noise
  • Keywords
    data compression; delays; echo suppression; filtering theory; linear predictive coding; quantisation (signal); speech coding; speech enhancement; speech synthesis; voice communication; LPC synthesis filter; acoustic echo control; cellular telephony; compressed domain noise reduction; computational cost reduction; delay reduction; direct compressed domain signal processing; echo cancellation; echo suppression; network speech enhancement; quantization noise reduction; speech compression; voice over packet networks; Acoustic noise; Cellular networks; Decoding; Echo cancellers; Noise cancellation; Noise reduction; Quantization; Speech enhancement; Speech processing; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
  • Conference_Location
    Lansing, MI
  • Print_ISBN
    0-7803-6475-9
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2000.951575
  • Filename
    951575