• DocumentCode
    310519
  • Title

    A high quality BI-CELP speech coder at 8 kbit/s and below

  • Author

    Kwon, Soon Y. ; Park, Hochong ; Chang, Hyokang

  • Author_Institution
    Telogy Networks Inc., Germantown, MD, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    759
  • Abstract
    This paper describes “BI-CELP: baseline and implied CELP”, which is a high quality speech coding method based on a code excited linear prediction (CELP) model employing excitation vectors combined from two codebooks, one from the baseline codebook and the other from the implied codebook. In this method the index of the baseline codebook is coded and transmitted to the receiver while the index of the implied codebook is extracted from the synthesized speech. This method has been applied to a lower rate voice coder at 8 kbit/s to produce high quality voice comparable to that of the 16 kbit/s G.728 LD-CELP. The performance of the 8 kbit/s BI-CELP coder is measured in terms of SNRseg and MOS. The average SNRseg is 12.14 dB which is 0.6 dB higher than that of the 8 kbit/s G.729 CS-ACELP. The MOS for the quiet input is 3.8 which is 0.02 higher than that of G.729 CS-ACELP. BI-CELP algorithm is implemented in real-time on a single TMS320C31 with 27 MIPS of CPU
  • Keywords
    digital signal processing chips; filtering theory; linear predictive coding; speech coding; vocoders; 8 kbit/s; 8 kbit/s speech coder; BI-CELP speech coder; G.728 LD-CELP; G.729 CS-ACELP; SNRseg; TMS320C31 DSP; baseline and implied CELP; baseline codebook; code excited linear prediction; excitation vectors; high quality speech coding; implied codebook; mean opinion score; random codebook; Character generation; Decoding; Delay; Linear predictive coding; Predictive models; Pulse generation; Speech coding; Speech enhancement; Speech synthesis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.596034
  • Filename
    596034