Published September 4, 2017 | Version v1

Microphone Brightness Modelling Dataset

  • 1. IoSR, University of Surrey, UK

Description

Data relating to the development and testing of a model predicting the perception of the degree of timbral brightness imparted by to a recording by the microphone used to make that recording. Archive comprises audio files, listening test instructions and MaxMSP interfaces, MATLAB code and listening test results.

References

A.Pearce, "Perceived differences between microphones", PhD Thesis, Institute of Sound Recording, University of Surrey, UK.

A.Pearce, T.Brookes, R.Mason, "Modelling the Microphone-Related Timbral Brightness of Recorded Signals", Applied Sciences Special Issue on Applications of Machine Learning in Audio Classification and Acoustic Scene Characterization, vol.11, iss.14, article number 6461.

Notes

Attribution: if publishing results generated using all or part of this dataset, please cite the most appropriate of the references listed on this page; if incorporating all or part of this dataset into a new dataset, please attribute the incorporated elements to the authors listed on this page and cite the doi. Thanks.

Files

brightness.zip

Files (652.7 MB)

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md5:c4846d1aece0e1d35f7e0deea9716cae
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Additional details

Related works

Is cited by
http://iosr.uk/micQuality (URL)