通过匹配泛音振动模式，让多声源混音更难被识别。
Vibrato Matching for Modulation Control and Blending in Sound Mixtures
- 先抑制目标音的颤音，再将源音的颤音特征迁移到目标音上。
- 在同声演奏时，匹配颤音可显著降低多声源感知度。
- 适用于音乐混音和声源融合，对分离算法有干扰作用。
在多个音乐声源的混音中，不同的颤音模式会成为人类听觉和声源分离算法判断多源存在的线索。本研究提出一种颤音匹配算法：先抑制目标信号中的颤音，再将源信号的颤音特征迁移至目标信号。该算法结合现有颤音抑制方法与新提出的颤音迁移机制，对目标信号的谐波分量施加频率调制和振幅调制，并对非谐波残差成分的频谱包络施加振幅调制。实例展示该算法可用于颤音控制与声源融合。颤音匹配会降低声源分离算法性能，暗示听觉上也难以察觉多个声源的存在。
原文摘要 · Abstract (English)
In sound mixtures of more than one musical source, different vibrato patterns act as a cue that multiple sources are present for both human listeners and source separation algorithms. Matching the vibrato patterns of the signals in the mixture reduces the perception of multiple sources, particularly when the sources play in unison. This work introduces the vibrato matching algorithm, which first suppresses vibrato in a target signal and then transfers vibrato from a source signal to the target. An existing vibrato suppression algorithm is combined with a new algorithm for vibrato transfer, which imparts frequency modulation and amplitude modulation to the harmonics of the target signal, and amplitude modulation onto the spectral envelope of the non-harmonic residual component. Examples demonstrate the algorithm's utility as a vibrato control mechanism and as a tool for blending sound sources. Matching vibrato degrades the performance of source separation algorithms, suggesting a similar degradation in listeners ability to detect the presence of multiple sources.
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