Dataset Open Access

IRMAS: a dataset for instrument recognition in musical audio signals

Juan J. Bosch; Ferdinand Fuhrmann; Perfecto Herrera

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.1290750</identifier>
      <creatorName>Juan J. Bosch</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0003-4221-3517</nameIdentifier>
      <affiliation>Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain</affiliation>
      <creatorName>Ferdinand Fuhrmann</creatorName>
      <affiliation>Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain</affiliation>
      <creatorName>Perfecto Herrera</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0003-2799-7675</nameIdentifier>
      <affiliation>Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain</affiliation>
    <title>IRMAS: a dataset for instrument recognition in musical audio signals</title>
    <date dateType="Issued">2014-09-08</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1290749</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution Non Commercial Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This dataset includes musical audio excerpts with annotations of the predominant instrument(s) present. It was used for the evaluation in the following article:&lt;/p&gt;

&lt;p&gt;Bosch, J. J., Janer, J., Fuhrmann, F., &amp;amp; Herrera, P. &amp;ldquo;&lt;a href=""&gt;A Comparison of Sound Segregation Techniques for Predominant Instrument Recognition in Musical Audio Signals&lt;/a&gt;&amp;rdquo;, in Proc. ISMIR (pp. 559-564), 2012&lt;/p&gt;

&lt;p&gt;Please Acknowledge IRMAS in Academic Research&lt;/p&gt;

&lt;p&gt;IRMAS is intended to be used for training and testing methods for the automatic recognition of predominant instruments in musical audio. The instruments considered are: cello, clarinet, flute, acoustic guitar, electric guitar, organ, piano, saxophone, trumpet, violin, and human singing voice. This dataset is derived from the one compiled by Ferdinand Fuhrmann in his&amp;nbsp;&lt;a href=""&gt;PhD thesis&lt;/a&gt;, with the difference that we provide audio data in stereo format, the annotations in the testing dataset are limited to specific pitched instruments, and there is a different amount and lenght of excerpts.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Using this dataset&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;When IRMAS is used for academic research, we would highly appreciate if scientific publications of works partly based on the IRMAS dataset quote the above publication.&lt;/p&gt;

&lt;p&gt;We are interested in knowing if you find our datasets useful! If you use our dataset please email us at &lt;a href=""&gt;;/a&gt; and tell us about your research.&lt;/p&gt;


&lt;p&gt;&lt;a href=""&gt; &lt;/a&gt;&lt;/p&gt;</description>
All versions This version
Views 10,06910,064
Downloads 24,77724,776
Data volume 68.5 TB68.5 TB
Unique views 8,8608,855
Unique downloads 7,0977,096


Cite as