Magnitude-Sign split quantization for bandwidth scalable wideband speech codec

  • Authors:
  • Ji-Hyuk You;Chul-Man Park;Jung-Il Lee;Chang-Beom Ahn;Seoung-Jun Oh;Hochong Park

  • Affiliations:
  • VIA-Multimedia Center, Kwangwoon University, Email:via-staff@viame.re.kr, Seoul, Korea;VIA-Multimedia Center, Kwangwoon University, Email:via-staff@viame.re.kr, Seoul, Korea;VIA-Multimedia Center, Kwangwoon University, Email:via-staff@viame.re.kr, Seoul, Korea;VIA-Multimedia Center, Kwangwoon University, Email:via-staff@viame.re.kr, Seoul, Korea;VIA-Multimedia Center, Kwangwoon University, Email:via-staff@viame.re.kr, Seoul, Korea;VIA-Multimedia Center, Kwangwoon University, Email:via-staff@viame.re.kr, Seoul, Korea

  • Venue:
  • PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
  • Year:
  • 2005

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Abstract

New quantization method based on magnitude-sign split scheme for bandwidth scalable wideband speech codec is proposed. In the high-band codec, the signal is band-pass filtered and each band is transformed independently into DCT domain. The DCT coefficients are split into magnitude and sign, and each is quantized separately based on its unique characteristics. In addition, the quantized gain parameter in the low-band codec is utilized in the high-band codec for an enhanced performance. The 19.8kbps bandwidth scalable wideband codec consisting of G.729E for low-band and the proposed codec for high-band is developed, and it is confirmed that the proposed codec has better subjective performance than 24kbps G.722.1.