Difference between revisions of "Talk:Audio Artist"

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This is a well defined problem, and of great importance. It is similar to genre classification, but not the same. I believe systems doing well on one problem may not perform equally well on the other.  
 
This is a well defined problem, and of great importance. It is similar to genre classification, but not the same. I believe systems doing well on one problem may not perform equally well on the other.  
  
I agree with the first review that letting people run their system and handing just raw results (without ground truth) would be much more feasible. However, providing the original audio (1 minute) might be hindered by copyright issues, while providing only extracted features might not be fair since different participants may play with different features.  
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I agree with the first reviewer that letting people run their system and handing just raw results (without ground truth) would be easier for both participants and evaluation committee. However, providing the original audio (1 minute) might be hindered by copyright issues, while providing only derived features might not be fair since different participants may want to play with different features.  
  
Althought in most cases an artist is good at one genre, it happens that some artists perform works across different genres. Should we also consider this?
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Althought in most cases an artist is good at one genre, it happens that some artists perform works across different genres. For simplicity, we can ignore this issue for now.

Revision as of 17:08, 20 February 2005

This is a well defined problem, and of great importance. It is similar to genre classification, but not the same. I believe systems doing well on one problem may not perform equally well on the other.

I agree with the first reviewer that letting people run their system and handing just raw results (without ground truth) would be easier for both participants and evaluation committee. However, providing the original audio (1 minute) might be hindered by copyright issues, while providing only derived features might not be fair since different participants may want to play with different features.

Althought in most cases an artist is good at one genre, it happens that some artists perform works across different genres. For simplicity, we can ignore this issue for now.