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Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition

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Paper Details

Authors:
Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung
Submitted On:
14 October 2016 - 6:28am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Jeih-weih HUNG
Paper Code:
S3-3
Document Year:
2016
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Document Files

ISCSLP_2016.pdf

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[1] Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung, "Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1189. Accessed: Feb. 27, 2020.
@article{1189-16,
url = {http://sigport.org/1189},
author = {Hsin-Ju Hsieh; Berlin Chen; Jeih-weih Hung },
publisher = {IEEE SigPort},
title = {Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition},
year = {2016} }
TY - EJOUR
T1 - Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition
AU - Hsin-Ju Hsieh; Berlin Chen; Jeih-weih Hung
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1189
ER -
Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung. (2016). Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition. IEEE SigPort. http://sigport.org/1189
Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung, 2016. Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition. Available at: http://sigport.org/1189.
Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung. (2016). "Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition." Web.
1. Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung. Employing Median Filtering to Enhance the Complex-valued Acoustic Spectrograms in Modulation Domain for Noise-robust Speech Recognition [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1189