文章基本信息

标题：Comparison of Different Adaptive Speech Algorithm to Correct Wow and Flutter in Audio Signals
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作者：Chanda Thakur ; Satbir Singh
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5587-5600
出版社：TechScience Publications
摘要：This proposed research work describes a system which is used to remove Wow and Flutter from audio signal using Advanced Adaptive Speech Algorithm. It is impossible to completely remove Wow and Flutter from audio signal but its effect can be reduced significantly. It occurs during the process of sound reproduction. It is the group of tones created by the irregularities in turntables or tape drive speed during reproduction, duplication or recording. Wow occurs due to irregularities at low frequency whereas at high frequency irregularities, Flutter occurs. Wow and Flutter could be found in old gramophone recordings, wax cylinders, on the magnetic and optical sound tapes. Least Mean Square Algorithm uses Adaptive Filter which adjusts their coefficient in order to minimize the required wobble effects in audio signal. Results show that Advanced Adaptive Speech Algorithm can significantly diminish the effects of wow and flutter.
关键词：Least Mean Square Algorithm; Normalized Least;Mean Square Algorithm; Recursive Least Square Algorithm;Mean Square Error; Short Time Energy and Elapsed Time