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Mridangam Stroke Dataset

Akshay Anantapadmanabhan; Ashwin Bellur; Hema A. Murthy


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    "alternateName": "eng", 
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    "name": "English"
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  "description": "<p>The Mridangam Stroke dataset is a collection of 6977 audio examples of individual strokes of the Mridangam in various tonics. The dataset comprises of 10 different strokes played on Mridangams with 6 different tonic values.</p>\n\n<p>This is an updated version of the dataset, as the original version 1.0 presents some silent or wrong annotated tracks.</p>\n\n<p><strong>Audio content</strong></p>\n\n<p>The dataset provides audio examples for each of the strokes. There are six different tonics and ten different stroke labels.</p>\n\n<p>The audio examples were recorded from a professional Carnatic percussionist in a semi-anechoic studio conditions by Akshay Anantapadmanabhan using SM-58 microphones and an H4n ZOOM recorder. The audio was&nbsp;sampled at 44.1 kHz and stored as 16 bit wav files. The dataset can be used for training models for each Mridangam stroke.&nbsp;</p>\n\n<p><strong>Metadata</strong></p>\n\n<p>The whole dataset is organized by the tonic, into 6 packs. Each audio file is named as,&nbsp;</p>\n\n<pre><code>&lt;StrokeName&gt;_&lt;Tonic&gt;_&lt;InstanceNumber&gt;.wav\n&lt;Tonic&gt; = {B, C, Csh, D, Dsh, E}\n&lt;StrokeName&gt; = {Bheem, Cha, Dheem, Dhin, Num, Ta, Tha, Tham, Thi, Thom}</code></pre>\n\n<p><strong>Using this dataset</strong></p>\n\n<p>A detailed description of the Mridangam and its strokes can be found in the following paper. A part of the dataset was used in the paper. Please cite it if you use the dataset in your work.</p>\n\n<blockquote>\n<p>Akshay Anantapadmanabhan, Ashwin Bellur, Hema A. Murthy, &quot;Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization,&quot; in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), pp.181-185, May 2013</p>\n</blockquote>\n\n<p><a href=\"http://hdl.handle.net/10230/25756\">http://hdl.handle.net/10230/25756</a></p>\n\n<p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href=\"mailto:mtg-info@upf.edu\">mtg-info@upf.edu</a> and tell us about your research.</p>\n\n<p><strong>Contact</strong></p>\n\n<p>If you have any questions or comments about the dataset, please feel free to write to us:&nbsp;</p>\n\n<p>Akshay Anantapadmanabhan (akshay.anantapadmanabhan@gmail.com)</p>\n\n<p>&nbsp;</p>\n\n<p><a href=\"http://compmusic.upf.edu/mridangam-stroke-dataset\">http://compmusic.upf.edu/mridangam-stroke-dataset</a></p>", 
  "license": "https://creativecommons.org/licenses/by-nc/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Department of Computer Science and Engineering, Indian Institute of Technology, Madras, India", 
      "@type": "Person", 
      "name": "Akshay Anantapadmanabhan"
    }, 
    {
      "affiliation": "Department of Electrical Engineering, Indian Institute of Technology, Madras, India", 
      "@type": "Person", 
      "name": "Ashwin Bellur"
    }, 
    {
      "affiliation": "Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Indiaat Pompeu Fabra", 
      "@type": "Person", 
      "name": "Hema A. Murthy"
    }
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  "url": "https://zenodo.org/record/4068196", 
  "citation": [
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  "datePublished": "2020-10-06", 
  "version": "1.5", 
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      "affiliation": "Music Technology Group, Universitat Pomepu Fabra", 
      "@id": "https://orcid.org/0000-0003-3450-3194", 
      "@type": "Person", 
      "name": "Gen\u00eds Plaja"
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  "identifier": "https://doi.org/10.5281/zenodo.4068196", 
  "@id": "https://doi.org/10.5281/zenodo.4068196", 
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    "url": "https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6619549", 
    "location": "Vancouver, BC, Canada", 
    "@type": "Event", 
    "name": "2013 IEEE International Conference on Acoustics, Speech and Signal Processing"
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  "name": "Mridangam Stroke Dataset"
}
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