%0 Conference Paper %1 conf/apsipa/LiuWL0M19 %A Liu, Liangqi %A Wu, Zhiyong %A Li, Runnan %A Jia, Jia %A Meng, Helen %B APSIPA %D 2019 %I IEEE %K dblp %P 922-926 %T Learning Contextual Representation with Convolution Bank and Multi-head Self-attention for Speech Emphasis Detection. %U http://dblp.uni-trier.de/db/conf/apsipa/apsipa2019.html#LiuWL0M19 %@ 978-1-7281-3248-8

@inproceedings{conf/apsipa/LiuWL0M19, added-at = {2021-05-08T00:00:00.000+0200}, author = {Liu, Liangqi and Wu, Zhiyong and Li, Runnan and Jia, Jia and Meng, Helen}, biburl = {https://www.bibsonomy.org/bibtex/2c680ae10747667380f6333c8c64cbf61/dblp}, booktitle = {APSIPA}, crossref = {conf/apsipa/2019}, ee = {https://doi.org/10.1109/APSIPAASC47483.2019.9023243}, interhash = {4434629923b1c13845c9f9fbc9827d1f}, intrahash = {c680ae10747667380f6333c8c64cbf61}, isbn = {978-1-7281-3248-8}, keywords = {dblp}, pages = {922-926}, publisher = {IEEE}, timestamp = {2024-04-10T05:48:27.000+0200}, title = {Learning Contextual Representation with Convolution Bank and Multi-head Self-attention for Speech Emphasis Detection.}, url = {http://dblp.uni-trier.de/db/conf/apsipa/apsipa2019.html#LiuWL0M19}, year = 2019 }