DocumentCode
381479
Title
Dynamic temporal segmentation in parametric non-stationary modeling for percussive musical signals
Author
Boyer, Remy ; Essid, Slim ; Moreau, Nicolas
Author_Institution
Dept. of Signal & Image Process., Ecole Nat. Superieure des Telecommun., Paris, France
Volume
1
fYear
2002
fDate
2002
Firstpage
349
Abstract
An audio signal parametric modeling scheme is proposed that permits higher performance for representing strong sound transients. The exponentially damped sinusoids (EDS) model is considered in association with a high resolution parameter estimation approach. Such a technique is well adapted to almost every audio signal but is unfortunately not efficient when dealing with signals presenting strong temporal variations, such as percussive music signals, and causes pre-echo artifacts and weak onset dynamic reproduction which are prejudicial to listening. A system, based on the EDS model, has been developed with a transient detector and dynamic time segmentation and modeling that allows to overcome such artifacts.
Keywords
audio coding; music; parameter estimation; signal detection; signal resolution; EDS model; MPEG-4 audio; audio coding; audio signal; dynamic temporal segmentation; dynamic time segmentation; exponentially damped sinusoids model; high resolution parameter estimation; listening; parametric nonstationary modeling; percussive musical signals; pre-echo artifacts; temporal variations; transient detector; weak onset dynamic reproduction; Context modeling; Detectors; Frequency; Image segmentation; Multiple signal classification; Parametric statistics; Power system modeling; Signal processing; Signal resolution; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
Print_ISBN
0-7803-7304-9
Type
conf
DOI
10.1109/ICME.2002.1035790
Filename
1035790
Link To Document