压缩插件对音乐制作中动态范围的影响

Kadri Yılmaz ERDAL
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引用次数: 0

摘要

本研究探讨了动态处理器在音频处理和音乐制作中的作用,以及不同类型的设计对音频信号的影响。本文试图为动态处理器的设计和参数提供信息。为了创建在研究范围内分析的声音样本,从虚拟仪器插件中获取单声道样本录音。从低音吉他模型中提取的声音样本是优选的,以便包含音频信号的所有一般包络结构特征。在这个方向上,声音样本是从虚拟仪器中选择的,以便在录音阶段使其远离外部因素,并使工作可重复和可开发。它被用作动态处理器控制和平衡音频信号和创造感官效果的基本工具。在此背景下,研究了动态处理器类压缩机及其基本参数和不同设计类型对音频信号的影响。观察到不同压气机设计的音调特性和动态变化的差异。在此背景下,分析了FET、VCA、var - mu、光学和数字压缩器插件对音频信号的影响,并给出了结果。这些分析可以为教师、学生以及那些对音乐技术领域感兴趣和工作的人选择不同的压缩机设计提供指导。在未来的研究中,可以通过收集实验数据和使用机器学习技术,更深入地探索不同音乐类型、乐器和录音条件对压气机设计效果的作用,得出更全面的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE EFFECTS OF COMPRESSOR PLUG-INS ON THE DYNAMIC RANGE IN MUSIC PRODUCTION
This study investigated the role of dynamic processors in audio processing and music production and the effects of different types of design on the audio signal. It has been tried to give information about the designs and parameters of dynamic processors. In order to create the sound sample analyzed within the scope of the study, a mono sample recording was taken from the virtual instrument plug-in. The sound sample taken from the bass guitar model was preferred in order to contain all the general envelope structure features of an audio signal. In this direction, the sound sample was chosen from the virtual instrument in order to keep it away from external factors during the recording stages and to make the work repeatable and developable. It is used as basic tools for dynamic processors to control and balance audio signals and create sensory effects. In this context, the effects of compressors in the dynamic processor class and their basic parameters and different design types on the audio signal are examined. Differences in tonal characteristics and dynamic changes of different compressor designs have been observed. In this context, the effects of FET, VCA, Vari-Mu, Optical and Digital compressor plug-ins on the audio signal were analyzed and the results were presented. These analyzes can provide guidance for the selection of different compressor designs for lecturers, students, and those interested in and working in the field of music technology. In future studies, the role of different music genres, instruments and recording conditions on the effects of compressor designs can be explored more deeply, and more comprehensive results can be reached by collecting experimental data and using machine learning techniques.
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