• DocumentCode
    2576893
  • Title

    Evaluation of AMR-NB and AMR-WB in packet switched conversational communications

  • Author

    Taddei, H. ; Varga, Imre ; Gros, Laëtitia ; Quinquis, Catherine ; Monfort, Jean Yves ; Mertz, Frank ; Clevorn, T.

  • Author_Institution
    Siemens AG ICM MP, Munich, Germany
  • Volume
    3
  • fYear
    2004
  • fDate
    27-30 June 2004
  • Firstpage
    2003
  • Abstract
    The introduction of packet switched (PS) networks (e.g., IMS) creates a need to evaluate speech transmission quality when using the 3GPP default speech codecs. 3GPP SA4 has created a work item in 3GPP Release 6 on "Performance characterization of default codecs for PS conversational application". France Telecom R&D and Siemens proposed a test framework consisting of a UMTS simulator for the air interface and an IP network simulator. ITU-T recommendation P.800 (1996) is used for the quality estimation of the transmission. The real-time conversational test results show that the AMR-NB (adaptive multirate narrow band) and AMR-WB (AMR wide band) speech codecs are well suited for PS conversational applications. Furthermore, the results clearly show a higher understanding when using AMR-WB rather than AMR-NB.
  • Keywords
    3G mobile communication; IP networks; packet radio networks; packet switching; speech codecs; speech coding; testing; voice communication; 3GPP speech codecs; UMTS; adaptive multirate narrow band; adaptive multirate wide band; packet switched conversational communications; packet switched networks; quality estimation; speech transmission quality; 3G mobile communication; Communication switching; IP networks; Narrowband; Packet switching; Research and development; Speech analysis; Speech codecs; Telecommunication switching; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8603-5
  • Type

    conf

  • DOI
    10.1109/ICME.2004.1394656
  • Filename
    1394656