A Parametric Model for Spectral Sound Synthesis of Musical Sounds

摘要：

We introduce a reduced parameter synthesis model for the spectral synthesis of musical sounds, which preserves the timbre and the naturalness of the musical sound. It also provides large flexibility for the user and reduces the number of synthesis parameters compared to traditional analysis/re-synthesis methods. The proposed model is almost completely independent from a previous spectral analysis. We present a frequency estimation method using a random walk to keep the naturalness of the sound without using a separate noise model. Three different approaches have been tested to estimate the amplitude values for the synthesis, namely, local optimization, the use of a lowpass filter and polynomial fitting. All of these approaches give good results, especially for the sustain part of the signal.

作者: Cornelia Kreutzer Jacqueline Walker Michael ONeill

作者单位: University of Limerick, ECE Department, Limerick, Ireland University of Limerick, ECE Department,Limerick, Ireland University College Dublin, School of Computer Science and Informatics

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 633-637

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）