January 22, 2019 Dataset Open Access

Font, Frederic; Bogdanov, Dmitry

DCAT Export

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        <foaf:name>Font, Frederic</foaf:name>
        <foaf:givenName>Frederic</foaf:givenName>
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    <dct:title>Freesound content analyzed with Audio Commons Audio Extractor V2</dct:title>
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    <dct:description>&lt;p&gt;This dataset contains the outputs of running the second prototype of the&amp;nbsp;&lt;a href="https://github.com/AudioCommons/ac-audio-extractor"&gt;Audio Commons Audio Extractor&lt;/a&gt;&amp;nbsp;(ACExtractorV2)&amp;nbsp;over 292k clips of the &lt;a href="https://freesound.org"&gt;Freesound&lt;/a&gt; collection. This version of the&amp;nbsp;audio extractor is described in &lt;a href="https://www.audiocommons.org/assets/files/AC-WP4-UPF-D4.7%20Second%20prototype%20tool%20for%20the%20automatic%20semantic%20description%20of%20music%20samples.pdf"&gt;Deliverable D4.7&lt;/a&gt; of the AudioCommons project, and includes several music properties such as&amp;nbsp;&lt;strong&gt;pitch&lt;/strong&gt;,&amp;nbsp;&lt;strong&gt;key&lt;/strong&gt;&amp;nbsp;and&amp;nbsp;&lt;strong&gt;tempo&lt;/strong&gt;&amp;nbsp;(along with their confidence measures) which can be applied to music samples and music loops. It also includes prototype versions of the &lt;a href="https://github.com/AudioCommons/timbral_models"&gt;timbral models&lt;/a&gt; described in &lt;a href="https://www.audiocommons.org/assets/files/AC-WP5-SURREY-D5.6%20Second%20prototype%20of%20timbral%20characterisation%20tool%20for%20semantically%20annotating%20non-musical%20content.pdf"&gt;Deliverable 5.6&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;The preset dataset is structured as a single JSON file with a dictionary in which keys correspond to Freesound sound IDs. For each sound, the full output of the Audio Commons Audio Extractor is provided as another dictionary with the following keys:&amp;nbsp;booming, note_midi, note_confidence, brightness, log_attack_time, sharpness, tonality_confidence, single_event, tempo, roughness, dynamic_range, depth, tempo_confidence, loop, note_frequency, temporal_centroid, loudness, tonality, warmth, hardness, note_name. In some cases, keys might be missing if the audio extractor could not produce a valid output for a specific property and a given file. More information about these audio properties can be found in the aforementioned deliverables and software tools.&lt;/p&gt;</dct:description>
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    <dct:title>Audio Commons: An Ecosystem for Creative Reuse of Audio Content</dct:title>
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