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Dataset for Close Miking Empirical Practice Verification: A Source Separation Approach

<p>A dataset consisting of audio files which serve as support material to the following work: "Close Miking Empirical Practice Verification: A Source Separation Approach" by K. Drossos, S.I. Mimilakis, A. Floros, T. Virtanen and G. Schuller.</p> <p>The audio files contain information about two kind of signals a noise (pink noise) and a guitar (musical source) signal. For each signal multiple recordings, using a sampling frequency of 44.1kHz@16-bit, exist which are dependent upon the following variables:<br>     - Mircophone type (polar pattern: Omni-directional and cardioid lobe)   @Corresponding Folders: Omni &amp; Card<br>     - Microphone angle (30 and 45 degrees only for the cardioid microphone) @Corresponding Folders: C30 &amp; C45<br>     - Sound pressure levels for the source (SPLs) and the noise(SPLn) (SPLs : 94dB, 97dB, 100dB || SPLn: 88dB, 91dB, 94dB, 97dB, 100dB)<br>     - 12 Distances in meters: 0.03m - 0.30m with a step size of 0.03m &amp; 0.30m - 1.00m with a step size of 0.35m</p> <p>Each recording set contains also the original "clean" sources and their mixture for all the above configurations.<br>     <br> The equipment used to record the above signals:<br>     -Sound level meter (SLM): B&amp;K 2250 Type A SLM <br>     -Mic. A: &amp; Shure SM57, dynamic, cardioid<br>     -Mic. B: &amp; Behringer ECM8000, condenser, omni-directional<br>     -Laptop: Macbook Pro 15''<br>     -Recording software: Digidesign ProTools M-Powered 8<br>     -Musical instrument amplifier:  Behringer V-Tone GMX212<br>     -Digital sound card: M-Audio Fast Track Ultra<br>     -Loudspeaker: Electrovoice SX300<br>     <br> All recordings took place on the main stage of an empty municipal theater in Lixoyri, Kefallonia, Greece.<br> The authors would like to thank the Department of Technology of Sound and Musical Instruments,<br> Technological Educational Institute of Ionian Islands, for providing the equipment for the measurements.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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