声音混合中用于调制控制与融合的颤音匹配
Vibrato Matching for Modulation Control and Blending in Sound Mixtures
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中文总结 AI 辅助
本研究提出颤音匹配算法，可抑制目标信号颤音并转移源信号颤音，用于声音混合的颤音控制与声源融合，且匹配颤音会降低声源分离算法性能。
中文摘要 AI 辅助
在包含多个音乐声源的声音混合中，不同的颤音模式是人类听众和声源分离算法判断存在多个声源的线索。匹配混合信号的颤音模式会降低对多个声源的感知，尤其是当声源齐奏时。本研究提出颤音匹配算法，该算法先抑制目标信号中的颤音，再将源信号的颤音转移至目标信号。研究将现有颤音抑制算法与新的颤音转移算法结合，后者会为目标信号的谐波分量施加频率调制和幅度调制，为非谐波残差分量的频谱包络施加幅度调制。示例表明，该算法可作为颤音控制机制及声源融合工具，而匹配颤音会降低声源分离算法的性能，提示听众检测多个声源存在的能力也会下降。
英文摘要
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.
