| 引用本文: | 梅林,肖兆雄,沙学军.一种变邻域搜索与人耳掩蔽音乐生成方法[J].哈尔滨工业大学学报,2020,52(5):1.DOI:10.11918/201906053 |
| MEI Lin,XIAO Zhaoxiong,SHA Xuejun.A music generation method based on variable neighborhood search and masking effect[J].Journal of Harbin Institute of Technology,2020,52(5):1.DOI:10.11918/201906053 |
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| 摘要: |
| 本文提出了一种基于变邻域搜索与人耳掩蔽效应的音乐生成方法,以克服传统的作曲方法门槛过高、可重复性工作较多等缺点,并且相较于现有音乐生成模型具有操作直观、能够挖掘乐谱长时间内的连贯性等优点.训练阶段的输入选择易获得的时域波形文件,通过基于音高显著度的频率提取和基于掩蔽效应的时域分块获得乐谱,经过预先设定的音乐参数进行训练.生成阶段采取变邻域搜索与人工操作相结合的方式,通过对乐谱中音符进行增删、转调等操作按小节生成具有艺术性的乐谱,并根据操作者的偏好对乐谱进行人工修改与锁定.随后,以4小节为单位一次生成音乐片段,并组合成持续时间较长的一段音乐片段.最后在不同时间尺度完善乐谱,输出时域波形文件.整个流程可视化和人机交互的思想贯穿其中,能够充分调动音乐爱好者的积极性.同时本文提出了一种参数化乐音模拟的方法用于修饰乐谱或生成全新的音色,可根据乐器的分类方法或人的发声过程,通过声源激励与共振腔模拟两个部分参数化模拟乐器与人声. |
| 关键词: 音乐生成 变邻域搜索 掩蔽效应 人机交互 音高显著度 乐音模拟 |
| DOI：10.11918/201906053 |
| 分类号:TN912 |
| 文献标识码:A |
| 基金项目: |
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| A music generation method based on variable neighborhood search and masking effect |
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MEI Lin,XIAO Zhaoxiong,SHA Xuejun
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(School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150080, China)
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| Abstract: |
| A music generation method based on variable neighborhood search and masking effect was proposed to overcome the shortcomings of traditional composing methods, such as high threshold and repeatable work. Compared with the existing music generation model, the proposed method is intuitive to operate and can excavate the consistency of music scores over a long period of time. In the training stage, the time domain waveform files were chosen as the input, which were easy to acquire. The music score was obtained by frequency extraction based on pitch significance and time domain block based on masking effect, and the music parameters were pre-set for training. In the generation stage, the method of combining variable neighborhood search with manual operation was adopted. By adding, deleting, and changing the notes in the music score, the artistic music score was generated according to the section, and the music score was manually modified and locked according to the preference of the operator. Then, the music segments were generated in four sections at a time and combined into a long-lasting music segment. Finally, the music score was perfected at different time scales, and the time domain waveform file was output. The idea of visualization and human-computer interaction throughout the whole process could fully mobilize the enthusiasm of music enthusiasts. Besides, a parametric musical instruments simulation method is proposed to modify the music score or generate a new timbre, in which two parts of parametric simulation of musical instruments and human voice can be carried out through sound source excitation and resonant cavity simulation according to the classification of musical instruments or the process of human voice production. |
| Key words: music generation variable neighborhood search masking effect human-computer interaction pitch significance musical instruments simulation |
