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Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems

Deepak Baby (UGent) and Sarah Verhulst (UGent)
(2018) Interspeech 2018.
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Citation

Please use this url to cite or link to this publication:

Chicago
Baby, Deepak, and Sarah Verhulst. 2018. “Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems.” In Interspeech 2018. ISCA.
APA
Baby, D., & Verhulst, S. (2018). Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems. Interspeech 2018. Presented at the Interspeech, ISCA.
Vancouver
1.
Baby D, Verhulst S. Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems. Interspeech 2018. ISCA; 2018.
MLA
Baby, Deepak, and Sarah Verhulst. “Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems.” Interspeech 2018. ISCA, 2018. Print.
@inproceedings{8575039,
  author       = {Baby, Deepak and Verhulst, Sarah},
  booktitle    = {Interspeech 2018},
  language     = {eng},
  location     = {Hyderabad},
  publisher    = {ISCA},
  title        = {Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems},
  url          = {http://dx.doi.org/10.21437/interspeech.2018-1237},
  year         = {2018},
}
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