High dimension adaptive vector quantization

T. Wang, J. Foster
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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.<>
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高维自适应矢量量化
提出了一种应用于数字语音传输的自适应矢量量化(AVQ)波形编码系统。在计算机上对AVQ编码算法进行了建模和仿真。给出了高维的仿真结果。以20分钟的数字化语音为源。通过定量和主观测试,将重建语音与原始波形进行比较。选择的传输速率为16kb /s。结果表明,该方法具有较高的信噪比(SNR)性能和较低的编码复杂度。
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