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Author: JRequenaC

hums_whistles/index.html

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-The MLEnd Hums and Whistles dataset will give you an opportunity to explore the non-trivial problem of recognizing music from extreme interpretations, in our case, hums and whistles produced by people like you and me. This dataset comes with additional demographic information about our participants, so that you can explore how people with different backgrounds interpret music. A small version of this dataset can be found here.
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+The MLEnd Hums and Whistles dataset will give you an opportunity to explore the non-trivial problem of 
+recognizing music from extreme interpretations, in our case, hums and whistles produced by people like 
+you and me. This dataset comes with additional demographic information about our participants, so that 
+you can explore how people with different backgrounds interpret music. The MLEnd datasets have been 
+created by students at the School of Electronic Engineering and Computer Science, Queen Mary University of London.
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-The MLEnd datasets have been created by students at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Other datasets include the MLEnd Spoken Numerals dataset, also available on Kaggle. Do not hesitate to reach out if you want to know more about how we did it.
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 Enjoy!
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