Multi-sinusoid excitation model for audio coding

Wen-Whei Chang, Li-Wei Wang
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Abstract

Most studies in LPC-based audio coders decompose the signal into the product of excitation and system spectra, and then quantize the excitation by using either a stochastic codebook or multiple pulses. But their near white spectra cannot precisely describe the harmonic characteristics of excitation, especially when dealing with instrumental music. The paper explores the benefits of sinusoidal representation for excitation in the design of analysis-by-synthesis predictive coders. Furthermore, an efficient parameter extraction algorithm has also been developed to identify the associated parameters of the sinusoidal components. Simulation results indicate that the proposed multi-sinusoid excitation model allows the implementation of an LPC-based audio coder which delivers near toll quality at the rate of 92.61 kbps.<>
音频编码的多正弦激励模型
大多数基于lpc的音频编码器研究将信号分解为激励和系统频谱的乘积,然后使用随机码本或多个脉冲对激励进行量化。但它们的近白光谱不能精确地描述激发的谐波特性,特别是在处理器乐时。本文探讨了正弦表示激励在综合分析预测编码器设计中的好处。此外,还开发了一种有效的参数提取算法来识别正弦分量的相关参数。仿真结果表明,所提出的多正弦激励模型允许实现基于lpc的音频编码器,该编码器以92.61 kbps的速率提供接近收费的质量。
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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