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Improve music synthesis quality by particular harmonic spectrum interpolation based on sinusoidal model

机译：通过基于正弦模型的特定谐波频谱插值来提高音乐合成质量

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摘要

Sinusoidal model is not only widely applied in speech processing, but also an effective method in the analysis and synthesis of music signals. The method of peak parameters tracking largely matches the spectrum of harmonic components. However, it ignores much music particular harmonic spectrum components, which affects the clarity and the auditory effect of the synthetic music. This paper proposes a particular harmonic spectrum interpolation (PHI) method to compensate the deficiency of peak tracking, we use cubic spline curve interpolation to insert information of the particular harmonic spectrum between peaks, then the peak spectral parameters and interpolation particular spectrum parameters are transferred to music signal synthesis generator. Experiments show that the LSD (log spectral distance) is reduced by 5.3%, as well as the MOS score is improved by 0.4 in average comparing with traditional peak tracking. Furthermore, the auditory perception of synthesis music is largely improved, quite closer to the original signal.
机译：正弦模型不仅在语音处理中得到广泛应用，而且还是分析和合成音乐信号的有效方法。峰值参数跟踪的方法在很大程度上与谐波分量的频谱相匹配。但是，它忽略了许多音乐特定的谐波频谱成分，这会影响合成音乐的清晰度和听觉效果。本文提出了一种特殊的谐波频谱插值（PHI）方法来补偿峰值跟踪的不足，我们使用三次样条曲线插值在峰值之间插入特定谐波频谱的信息，然后将峰值频谱参数和内插特定频谱参数转移到音乐信号合成发生器。实验表明，与传统的峰跟踪相比，LSD（对数谱距离）降低了5.3％，而MOS得分平均提高了0.4。此外，合成音乐的听觉得到了很大的改善，非常接近原始信号。

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