The use of High-Order Sparse Linear Prediction for the Restoration of Archived Audio (2020)
Abstract / truncated to 115 words
Since the invention of Gramophone by Thomas Edison in 1877, vast amounts of cultural, entertainment, educational and historical audio recordings have been recorded and stored throughout the world. Through natural aging and improper storage, the recorded signal degrades and loses its information in terms of quality and intelligibility. Degradation of audio signals is considered as any unwanted modification to the audio signal after it has been recorded. There are different degradations affecting recorded signals on analog storage media. The degradations that are often encountered are clicks, hiss and ‘Wow and Flutter’. Several researches have been conducted in restoring degraded audio recordings. Most of the methods rely on some prior information of the underlying data and ... toggle 7 keywordslinear prediction – sparse linear prediction – high-order sparse linear prediction – audio restoration – archived audio – click degradation – wow degradation
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