Accidental wow defect evaluation using sinusoidal analysis enhanced by artificial neural networks

被引：0
|
作者：
Czyzewski, Andrzej [1 ]
Kostek, Lozena [1 ]
Maziewski, Przemyslaw [1 ]
Litwic, Lukasz [1 ]
机构：
[1] Gdansk Univ Technol, Multimedia Syst Dept, PL-80952 Gdansk, Poland
来源：
ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS | 2006年 / 4062卷
关键词：
neural networks; prediction; audio restoration; wow detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for evaluation of parasitic frequency modulation (wow) in archival audio is presented. The proposed approach utilizes sinusoidal components tracking as their variations correspond with the wow defect. The sinusoidal modeling procedures are used to extract the tonal components from severely distorted and significantly modulated audio signals. A prediction module based on neural networks is proposed to improve the tonal components tracking.
引用
收藏
页码：389 / 395
页数：7
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