音乐音色风格转移与扩散模型
Hong Huang1, Junfeng Man2,3, Luyao Li1
1School of Computer Science, Hunan University of Technology, Zhuzhou, China.
PeerJ. Computer science
|August 15, 2024
概括
这项研究引入了一种用于音频音色转移的新型扩散模型,通过保留音乐元素来提高声音质量. 这种新方法有效地提高了一对一和多对多的印章转移任务.
科学领域:
- 音频信号处理 音频信号处理
- 机器学习 机器学习
- 数字音乐 数字音乐 数字音乐
背景情况:
- 音调转移旨在改变音频样本的乐器特征,同时保持音调和旋律.
- 现有的方法,通常使用图像到图像的风格转移,产生不满意的结果与波形文物.
- 扩散模型擅长生成高质量的图像,为音频合成提供了一个有前途的途径.
研究的目的:
- 用扩散模型开发一种先进的音色传输技术.
- 克服当前模型的局限性,这些模型生成与无关波形相关的音频.
- 为了实现高保真度音色传输,同时保持原始音频特性.
主要方法:
- 音频波形转换为常量Q变换 (CQT) 谱图.
- 图像到图像转换技术应用于CQT光谱图进行音标传输.
- DiffWave模型用于将修改后的CQT光谱图重建回音频波形.
主要成果:
- 拟议的基于扩散的模型在一对一和多对多的音色转移任务中表现出卓越的性能.
- 实验结果显示,与基线音色转移模型相比,显著改善.
- 生成的音频样本显示出更好的质量和音乐元素的保存.
结论:
- 扩散模型为高质量的音频音色转移提供了一个有希望的方法.
- 这种技术推进了音乐音频操纵的最先进技术.
- 该方法有效地解决了在音色转换期间保持音频真实性的挑战.
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