An FM-Wavetable-Synthesized Violin with Natural Vibrato and Bow Pressure
- DOI
- 10.2991/978-94-6463-370-2_27How to use a DOI?
- Keywords
- Digital Violin Synthesis; Wavetable Synthesis; FM Synthesis; Vibrato; Bow Pressure; Expressive Control
- Abstract
As a matter of fact, the digital representation of musical instruments has long been a challenge for researchers, with the violin being one of the most complex due to its expressive nature and intricate timbre. This study delves into the synthesis of a digital violin, aiming to reproduce its rich sound by incorporating natural vibrato and bow pressure based on performance statistics. Utilizing wavetable and FM synthesis techniques, the research has been able to enhance the fixed spectrum of the violin to yield a more authentic sonic experience. Vibrato and bow pressure elements, once missing in many synthesizers, have been introduced to bring about greater expressiveness to the synthesized sound. The results of our research indicate a marked improvement in the naturalness and expressiveness of the digital violin, although achieving full realism remains a challenge. The advancements made in this study significantly contribute to the field of digital music synthesis, bridging the gap between traditional instruments and their digital counterparts.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qin Liu PY - 2024 DA - 2024/02/14 TI - An FM-Wavetable-Synthesized Violin with Natural Vibrato and Bow Pressure BT - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023) PB - Atlantis Press SP - 243 EP - 250 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-370-2_27 DO - 10.2991/978-94-6463-370-2_27 ID - Liu2024 ER -