采用联合优化的MA预测和矢量量化对线谱频率进行编码

1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351) Pub Date : 1999-06-20 DOI:10.1109/SCFT.1999.781479

Y. Shoham

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引用次数: 2

摘要

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

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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来源期刊

1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351)

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