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ZTE Communications ›› 2012, Vol. 10 ›› Issue (2): 25-33.

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Lattice Vector Quantization Applied to Speech and Audio Coding

Minjie Xie   

  1. ZTE USA Inc.,Richardson, TX 75080, USA
  • Received:2012-01-16 Online:2012-06-25 Published:2012-06-25
  • About author:Minjie Xie (minjie.xie@zteusa.com) received his MASc and PhD degrees in electrical engineering from the University of Sherbrooke, Quebec, Canada, in 1993 and 1996. He is a senior standard specialist at ZTE USA Inc., where he works on speech and audio coding standardization and algorithm development. Since 2002, he has been active in speech and audio coding standardization in ITU-T, MPEG, and 3GPP. From 2006 to 2008, he was the editor of ITU-T Recommendation G.722.1 and its Annexes and is currently the editor of the 3GPP SA4 EVS Codec. He was a major contributor to ITU-T Recommendations G.722.1C, the first ITU-T superwideband audio coding standard, and G.719, the first ITU-T full-band audio coding standard. His research interests include speech and audio coding, speech processing, vector quantization, and data compression. He has several patents and has published in several journal articles and conference proceedings.

Lattice Vector Quantization Applied to Speech and Audio Coding

Minjie Xie   

  1. ZTE USA Inc.,Richardson, TX 75080, USA
  • 作者简介:Minjie Xie (minjie.xie@zteusa.com) received his MASc and PhD degrees in electrical engineering from the University of Sherbrooke, Quebec, Canada, in 1993 and 1996. He is a senior standard specialist at ZTE USA Inc., where he works on speech and audio coding standardization and algorithm development. Since 2002, he has been active in speech and audio coding standardization in ITU-T, MPEG, and 3GPP. From 2006 to 2008, he was the editor of ITU-T Recommendation G.722.1 and its Annexes and is currently the editor of the 3GPP SA4 EVS Codec. He was a major contributor to ITU-T Recommendations G.722.1C, the first ITU-T superwideband audio coding standard, and G.719, the first ITU-T full-band audio coding standard. His research interests include speech and audio coding, speech processing, vector quantization, and data compression. He has several patents and has published in several journal articles and conference proceedings.

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Abstract: Lattice vector quantization (LVQ) has been used for real-time speech and audio coding systems. Compared with conventional vector quantization, LVQ has two main advantages: It has a simple and fast encoding process, and it significantly reduces the amount of memory required. Therefore, LVQ is suitable for use in low-complexity speech and audio coding. In this paper, we describe the basic concepts of LVQ and its advantages over conventional vector quantization. We also describe some LVQ techniques that have been used in speech and audio coding standards of international standards developing organizations (SDOs).

Key words: Vector quantization, lattice vector quantization, speech and audio coding, transform coding

摘要： Lattice vector quantization (LVQ) has been used for real-time speech and audio coding systems. Compared with conventional vector quantization, LVQ has two main advantages: It has a simple and fast encoding process, and it significantly reduces the amount of memory required. Therefore, LVQ is suitable for use in low-complexity speech and audio coding. In this paper, we describe the basic concepts of LVQ and its advantages over conventional vector quantization. We also describe some LVQ techniques that have been used in speech and audio coding standards of international standards developing organizations (SDOs).

关键词: Vector quantization, lattice vector quantization, speech and audio coding, transform coding