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

Deepak Baby (UGent) and Sarah Verhulst (UGent)
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  • RobSpear (Speech Encoding in Impaired Hearing)

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MLA
Baby, Deepak, and Sarah Verhulst. “Biophysically-Inspired Features Improve the Generalizability of Neural Network-Based Speech Enhancement Systems.” 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, ISCA, 2018, pp. 3264–68.
APA
Baby, D., & Verhulst, S. (2018). Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems. In 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES (pp. 3264–3268). Hyderabad, India: ISCA.
Chicago author-date
Baby, Deepak, and Sarah Verhulst. 2018. “Biophysically-Inspired Features Improve the Generalizability of Neural Network-Based Speech Enhancement Systems.” In 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 3264–68. ISCA.
Chicago author-date (all authors)
Baby, Deepak, and Sarah Verhulst. 2018. “Biophysically-Inspired Features Improve the Generalizability of Neural Network-Based Speech Enhancement Systems.” In 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 3264–3268. ISCA.
Vancouver
1.
Baby D, Verhulst S. Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems. In: 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES. ISCA; 2018. p. 3264–8.
IEEE
[1]
D. Baby and S. Verhulst, “Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems,” in 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, Hyderabad, India, 2018, pp. 3264–3268.
@inproceedings{8575039,
  author       = {Baby, Deepak and Verhulst, Sarah},
  booktitle    = {19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES},
  isbn         = {9781510872219},
  issn         = {2308-457X},
  language     = {eng},
  location     = {Hyderabad, India},
  pages        = {3264--3268},
  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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