Gaussian Mixture Model-based Quantization of Line Spectral Frequencies for Adaptive Multirate Speech Codec

CIT. Journal of Computing and Information Technology

Petrinović, Davor²  Tadić, Tihomir¹ 

[1] Research & Development Center, Ericsson Nikola Tesla d.d., Zagreb, Croatia;Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

关键词: Gaussian mixturemodels (GMMs);    Karhunen-Loeve transform (KLT);    line spectral frequency (LSF);    Adaptive Multi-Rate (AMR);    speech coding;    ...;   

DOI  :  

学科分类：计算机科学（综合）

来源: Sveuciliste u Zagrebu

【 摘 要 】

In this paper, we investigate the use of a Gaussian MixtureModel (GMM)-based quantizer for quantization of the Line Spectral Frequencies (LSFs) in the Adaptive Multi-Rate (AMR) speech codec. We estimate the parametric GMM model of the...

【 授权许可】

Unknown