Coding the line spectral frequencies by jointly optimized MA prediction and vector quantization

Y. Shoham
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引用次数: 2

Abstract

This paper presents a method for designing and optimizing predictive vector quantizers (PVQ) for coding the line spectral frequencies (LSF) in LPC-based speech and audio coders. The algorithm is based on iterative optimization of the predictors and the vector-quantizer codebooks. It is shown that the proposed method yields high quality LSF predictive quantizers with performance exceeding that of the PVQ used in the G.729 standard.
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采用联合优化的MA预测和矢量量化对线谱频率进行编码
本文提出了一种设计和优化预测矢量量化器(PVQ)的方法,用于基于lpc的语音和音频编码器的线谱频率(LSF)编码。该算法基于预测器和矢量量化码本的迭代优化。结果表明,该方法产生了高质量的LSF预测量化器,其性能优于G.729标准中使用的PVQ。
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Reverse water-filling in predictive encoding of speech Integration of speech enhancement and coding techniques The use of LSF-based phonetic classification in low-rate coder design Post noise smoother to improve low bit rate speech-coding performance A novel pitch-lag search method using adaptive weighting and median filtering
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