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 :
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