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Outputs (8)

Toward an evidence-based taxonomy of everyday sounds (2016)
Journal Article
Bones, O., Cox, T., & Davies, W. (2016). Toward an evidence-based taxonomy of everyday sounds. ˜The œJournal of the Acoustical Society of America (Online), 140(4), 3266-3266. https://doi.org/10.1121/1.4970357

An organizing account of everyday sounds could greatly simplify the management of audio data. The job of an audio database manager will typically involve assigning a combination of textual descriptors, and perhaps allocating to a predefined category.... Read More about Toward an evidence-based taxonomy of everyday sounds.

A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers (2016)
Journal Article

One criterion in the design of binaural sound scenes in audio production is the extent to which the intended speech message is correctly understood. Object-based audio broadcasting systems have permitted sound editors to gain more access to the metad... Read More about A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers.

The effect of microphone wind noise on the amplitude modulation of wind turbine noise and its mitigation (2016)
Journal Article

Microphone wind noise can corrupt outdoor recordings even when wind shields are used. When monitoring wind turbine noise, microphone wind noise is almost inevitable because measurements cannot be made in still conditions. The effect of microphone win... Read More about The effect of microphone wind noise on the amplitude modulation of wind turbine noise and its mitigation.

Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms (2016)
Journal Article

A distortion-weighted glimpse proportion metric (BiDWGP) for predicting binaural speech intelligibility were evaluated in simulated anechoic and reverberant conditions, with and without a noise masker. The predictive performance of BiDWGP was compare... Read More about Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms.