An Immittance Spectral Frequency parameters quantization Algorithm based on Gaussian Mixture Model

摘要：

An efficient Immittance Spectral Frequency (ISF) parameters quantization algorithm is proposed based on the Gaussian mixture model (GMM). The basic idea of the algorithm is the use of GMM to send the ISF parameters into M Gaussian clusters, ISF parameters are quantized by a Gaussian lattice vector quantizer corresponding to that Gaussian clustering, and the minimal spectral distortion value among the M quantized values is selected at last. In the design of Gaussian lattice vector quantizer, the optimal bit allocation algorithm is proposed based on the ratedistortion theory. The results show that the ISF parameters could be transparently quantized at 42 bit/frame, which saves 3 bits and reduce 58％ of the storage compared with the Split - Multi-Stage Vector Quantization (S-MSVQ) algorithm of AMRWB(G.722.2).

作者: Wang Xiaochen Zhang Yong Hu Ruimin Du Xi

作者单位: National Engineering Research Center for Multimedia software, Wuhan University, Wuhan 430072, China

会议类型: 国际会议

会议名称: The First International Conference on Multimedia Information Networking and Security(第一届国际多媒体网络信息安全会议 MINES 2009)

会议地点: 武汉

会议语种:英文

页码: 324-328

在线出版日期: 2009-11-18（万方平台首次上网日期，不代表论文的发表时间）