Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen, Hsin-Min Wang. A locality-preserving essence vector modeling framework for spoken document retrieval. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017. pages 5665-5669, IEEE, 2017. [doi]
@inproceedings{ChenLCW17-1,
title = {A locality-preserving essence vector modeling framework for spoken document retrieval},
author = {Kuan-Yu Chen and Shih-Hung Liu and Berlin Chen and Hsin-Min Wang},
year = {2017},
doi = {10.1109/ICASSP.2017.7953241},
url = {https://doi.org/10.1109/ICASSP.2017.7953241},
researchr = {https://researchr.org/publication/ChenLCW17-1},
cites = {0},
citedby = {0},
pages = {5665-5669},
booktitle = {2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017},
publisher = {IEEE},
isbn = {978-1-5090-4117-6},
}