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Quality Boost For ­ser-Generated Sound


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An algorithm makes it possible to tag content and quality, and has already been applied to an app for assessing wind noise.

New algorithms developed at the University of Salford Manchester could help people better understand sound quality on phones, video recorders, and dictaphones.

Credit: Scientific Computing

New algorithms could help people better understand sound quality on phones, video recorders, and dictaphones, according to researchers at the University of Salford Manchester.

A team led by professor Trevor Cox has developed algorithms that can help people control sound quality. The algorithms are capable of automatically assessing the relative impact of sound errors such as microphone handling noise, distortion, wind noise, and a range of other conditions.

An app for assessing wind noise is using the algorithms to alert users when there is significant risk that sound will be affected.

"We're used to having visual processing improving our photos, such as the camera that spots faces and changes exposure, but we have not had the same tools to do the audio equivalent," Cox says.

Salford's three-year Good Recording project is a response to growing demand from consumers and broadcasters who often use amateur footage, which is compromised by sound quality. The researchers say the project also should benefit broadcasters that use amateur footage and need to quickly assess quality.

From University of Salford Manchester
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