Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems
- Author
- Deepak Baby (UGent) and Sarah Verhulst (UGent)
- Organization
- Project
-
- RobSpear (Speech Encoding in Impaired Hearing)
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8575039
- 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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