Audio Impairment Recognition using a Correlation-Based Feature Representation

@article{Ragano2020AudioIR,
  title={Audio Impairment Recognition using a Correlation-Based Feature Representation},
  author={Alessandro Ragano and Emmanouil Benetos and Andrew Hines},
  journal={2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)},
  year={2020},
  pages={1-6}
}
Audio impairment recognition is based on finding noise in audio files and categorising the impairment type. Recently, significant performance improvement has been obtained thanks to the usage of advanced deep learning models. However, feature robustness is still an unresolved issue and it is one of the main reasons why we need powerful deep learning architectures. In the presence of a variety of musical styles, handcrafted features are less efficient in capturing audio degradation… 

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