Switched split vector quantizer applied for encoding the LPC parameters of the 2.4 Kbits/s MELP speech coder

M. Bouzid, Salah Eddine Cheraitia, Moussa Hireche
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引用次数: 6

Abstract

In this paper, we present an optimized switched split vector quantization (SSVQ) scheme developed for low bit-rate encoding of the LPC parameters represented by the line spectral frequencies (LSF). It will be shown that the SSVQ provides better performance in terms of bit-rate, spectral distortion and computational complexity than the traditional split vector quantizer. We further applied our SSVQ encoding system, called LSF-SSVQ encoder, to quantize the LSF parameters of the 2.4 Kbits/s normalised speech coder MELP operating over an ideal noiseless channel.
采用开关分裂矢量量化器对2.4 Kbits/s MELP语音编码器的LPC参数进行编码
在本文中,我们提出了一种优化的开关分裂矢量量化(SSVQ)方案,该方案针对以线谱频率(LSF)表示的LPC参数进行低比特率编码。结果表明,与传统的分割矢量量化器相比,SSVQ在比特率、频谱失真和计算复杂度方面具有更好的性能。我们进一步应用我们的SSVQ编码系统,称为LSF-SSVQ编码器,量化2.4 Kbits/s标准化语音编码器MELP在理想的无噪声信道上工作的LSF参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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