Added: Mar 12, 2010

From: phkjc

Duration: 3:1

This is a demo from a PhD Student of Dr Kevin Curran att the University of Ulster called Jonathan Doherty. The system seeks to 'fill in' the missing gaps in streaming wireless audio so that the listener cannot tell that they had been listening while temporarily in a region of poor reception. (Deeper Background) In todays ubiquitous environment wireless networks, Internet radio stations and portable devices are becoming more and more prominent. Laptops, netbooks and mobile phones are all susceptible to the unreliable nature of bursty connections on wireless networks, especially at the outer limits of the signal. Time dependent data such as music broadcast on Internet radio stations make this issue more evident to the listener. The ability of traditional packet level Forward Error Correction approaches can limit errors for small sporadic network losses but when dropouts of large portions occur listening quality becomes an issue. Services such as audio-on-demand drastically increase the loads on networks therefore new, robust and highly efficient coding algorithms are necessary. One method overlooked to date, which can work alongside existing audio compression schemes, is that which takes account of the semantics and natural repetition of music in the category of Western Tonal Format (WTF). Similarity detection within polyphonic audio has presented problematic challenges within the field of Music Information Retrieval. One approach to deal with bursty errors is to use self-similarity to replace missing segments. Many existing systems exist based on packet loss and replacement on a network level but none attempt repairs of large dropouts of 5 seconds or more. We have developed software for automatic detection and replacement of large packet losses on wireless networks when receiving time-dependent streamed audio.

Channel: Tech

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