A LSF Quantizer for the Wideband Speech Using the Predictive VQ-Pyramid VQ

예측 VQ-Pyramid VQ를 이용한 광대역 음성용 LSF 양자학기 설계

  • 이강은 (한양대학교 전자전기제어계측공학과) ;
  • 이인성 (한양대학교 전자전기제어계측공학) ;
  • 강상원 (한양대학교 전자전기제어계측공학과)
  • Published : 2004.05.01

Abstract

This Paper proposes the vector quantizer-pyramid vector quantizer(VQ-PVQ) structure. Also both predictive structure and safety-net concept are combined into the VQ-PVQ to quantize the IPC parameter of wideband speech codec. The Performance is compared to the LPC vector quantizer used in the AMR-WB(ITU-T G.722.2). demonstrating reduction in both spectral distortion and encoding memory.

본 논문에서는 벡터 양자화기와 피라미드 벡터 양자화기를 직렬로 결합하여 16차 벡터 소스에 대한 vector quantizer-pyramid vector quantizer (VQ-PVQ)를 개발하였으며, 예측 구조와 세이프티-넷 (safety-net) 개념을 결합시켜 광대역 음성 부호화기용 LPC 계수 양자화 기를 설계하였다. 본 양자화기의 성능은 AMR-WB(ITRT-T G.722.2)의 LPC양자화기 성능과 비교하였는데, 스펙트럼 왜곡 및 메모리 요구량에서 상당한 이득을 얻었다.

Keywords

References

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