AES Store

Journal Forum

Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
10 comments

Reflecting on Reflections - June 2014
1 comment

Quiet Thoughts on a Deafening Problem - May 2014
1 comment

Access Journal Forum

AES E-Library

Adaptive Parametric Schemes for Analysis and Synthesis of Musical Signals

An adaptive approach to the analysis and synthesis of musical signals is presented. These musical signals are modeled as nonstationary time-varying signals with mixed spectra. A frame-by-frame-based analysis and synthesis approach is adopted to capture the important time-varying nature of the musical signals. Through data analysis the relationship between a number of factors is discussed, such as modeling accuracy and efficiency, frame length, model order, and accuracy of parameter estimation. Once the signal parameters have been extracted from data analysis, the sounds are synthesized using these parameters. Analysis and synthesis results using variable model orders and variable frame lengths in combination with high-resolution parameter estimation and residual modeling are presented. The results show that the proposed algorithms are computationally efficient and effective when synthesizing piano and trumpet tones.

Authors:
Affiliation:
JAES Volume 49 Issue 5 pp. 353-365; May 2001
Publication Date:

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


 
Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society