Title : 
Simple fast vector quantization of the line spectral frequencies
         
        
            Author : 
Zhou, Jin ; Shoham, Yair ; Akansu, Ali
         
        
            Author_Institution : 
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
         
        
        
        
        
        
            Abstract : 
The authors propose a simple fast-search VQ of the LSFs to be used on top of the split VQ, that is, in each of the sub-vector domains. The main trait of the proposed method is that no suboptimal codebooks are used and there is no further reduction in performance. In each sub-vector domain, a full-size optimally trained codebook typically of size 1024, is searched using a fast-search algorithm. The result of this search is identical to that of a full-search, yet, only about 25% of a full-search complexity is needed
         
        
            Keywords : 
speech coding; vector quantisation; fast-search algorithm; full-search complexity; full-size optimally trained codebook; line spectral frequencies; simple fast vector quantization; sub-vector domains; Bit rate; Computational complexity; Feature extraction; Focusing; Frequency; Image coding; Interpolation; Modems; Speech coding; Vector quantization;
         
        
        
        
            Conference_Titel : 
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
         
        
            Conference_Location : 
Philadelphia, PA
         
        
            Print_ISBN : 
0-7803-3555-4
         
        
        
            DOI : 
10.1109/ICSLP.1996.607758