Wavetable Synthesis Using CVAE for Timbre Control Based on Semantic Label

• URL: http://arxiv.org/abs/2410.18628v1
• Date: Thu, 24 Oct 2024 10:37:54 GMT
• Title: Wavetable Synthesis Using CVAE for Timbre Control Based on Semantic Label
• Authors: Tsugumasa Yutani, Yuya Yamamoto, Shuyo Nakatani, Hiroko Terasawa,
• Abstract summary: This research introduces a method of timbre control in wavetable synthesis that is intuitive and sensible. Using a conditional variational autoencoder (CVAE), users can select a wavetable and define the timbre with labels such as bright, warm, and rich.
• Score: 2.0124254762298794
• License:
• Abstract: Synthesizers are essential in modern music production. However, their complex timbre parameters, often filled with technical terms, require expertise. This research introduces a method of timbre control in wavetable synthesis that is intuitive and sensible and utilizes semantic labels. Using a conditional variational autoencoder (CVAE), users can select a wavetable and define the timbre with labels such as bright, warm, and rich. The CVAE model, featuring convolutional and upsampling layers, effectively captures the wavetable nuances, ensuring real-time performance owing to their processing in the time domain. Experiments demonstrate that this approach allows for real-time, effective control of the timbre of the wavetable using semantic inputs and aims for intuitive timbre control through data-based semantic control.

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