Title :
High dimension adaptive vector quantization
Author :
Wang, Tzung-Kwang ; Foster, John
Author_Institution :
Dept. of Electr. Eng., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
Adaptive vector quantization (AVQ) is presented as a waveform coding system with applications to digital voice transmission. The AVQ coding algorithms were modeled and simulated on a computer. Simulation results of higher dimensions are presented. A 20 min digitized speech was used as the source. Both quantitative and subjective tests were performed to compare the reconstructed speech with the original waveform. The transmission rate chosen was 16 kb/s. The results showed high signal-to-noise-ratio (SNR) performance with relatively low coding complexity
Keywords :
speech coding; vector quantisation; 20 mins; AVQ coding algorithms; adaptive vector quantization; digital voice transmission; low coding complexity; quantitative tests; reconstructed speech; signal-to-noise-ratio; speech coding; subjective tests; transmission rate; waveform coding; Algorithm design and analysis; Bit rate; Code standards; Computational modeling; Computer simulation; Shape; Signal design; Speech; Testing; Vector quantization;
Conference_Titel :
Southeastcon '92, Proceedings., IEEE
Conference_Location :
Birmingham, AL
Print_ISBN :
0-7803-0494-2
DOI :
10.1109/SECON.1992.202394
