一种新的正弦建模方法用于参数化语音和音频编码

P. Vera-Candeas, N. Ruiz-Reyes, J. Curpián-Alonso, M. Rosa-Zurera
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引用次数: 0

摘要

在本文中,我们提出了一种基于能量自适应匹配追踪的新方法来改进参数化语音和音频编码的正弦建模。为了降低算法的复杂度,采用了复指数组成的过完备字典。提出了一种避免重叠的分析-合成窗口方案。为了有效地量化正弦模型参数,提出了一种新的算法,该算法大大减少了解码器所需的侧信息。实验结果表明,该方法可以集成到参数化语音/音频编码的多盘模型中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new sinusoidal modelling approach for parametric speech and audio coding
In this paper we propose a new approach based on energy-adaptive matching pursuits to improve sinusoidal modelling for parametric speech and audio coding. To reduce the complexity of the algorithm, an over-complete dictionary composed of complex exponentials is used. An analysis-synthesis windows scheme that avoids overlapping is proposed. For efficient quantization of sinusoidal model parameters, a new algorithm that largely reduces the side information required by the decoder is described. Experimental results show evidence of the advantages of the proposed method to be integrated into multi-pans models for parametric speech/audio coding.
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