Bidirectional truncated recurrent neural networks for efficient speech denoising
(2013)
INTERSPEECH.
- Author
- Philémon Brakel (UGent) , Dirk Stroobandt (UGent) and Benjamin Schrauwen (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-4124423
- MLA
- Brakel, Philémon, Dirk Stroobandt, and Benjamin Schrauwen. “Bidirectional Truncated Recurrent Neural Networks for Efficient Speech Denoising.” Interspeech. 2013. Print.
- APA
- Brakel, P., Stroobandt, D., & Schrauwen, B. (2013). Bidirectional truncated recurrent neural networks for efficient speech denoising. INTERSPEECH. Presented at the 14th Annual conference of the International Speech Communication Association.
- Chicago author-date
- Brakel, Philémon, Dirk Stroobandt, and Benjamin Schrauwen. 2013. “Bidirectional Truncated Recurrent Neural Networks for Efficient Speech Denoising.” In Interspeech.
- Chicago author-date (all authors)
- Brakel, Philémon, Dirk Stroobandt, and Benjamin Schrauwen. 2013. “Bidirectional Truncated Recurrent Neural Networks for Efficient Speech Denoising.” In Interspeech.
- Vancouver
- 1.Brakel P, Stroobandt D, Schrauwen B. Bidirectional truncated recurrent neural networks for efficient speech denoising. INTERSPEECH. 2013.
- IEEE
- [1]P. Brakel, D. Stroobandt, and B. Schrauwen, “Bidirectional truncated recurrent neural networks for efficient speech denoising,” in INTERSPEECH, Lyon, France, 2013.
@inproceedings{4124423,
author = {Brakel, Philémon and Stroobandt, Dirk and Schrauwen, Benjamin},
booktitle = {INTERSPEECH},
isbn = {9781629934433},
issn = {2308-457X},
language = {eng},
location = {Lyon, France},
pages = {5},
title = {Bidirectional truncated recurrent neural networks for efficient speech denoising},
year = {2013},
}