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Insights into End-to-End Learning Scheme for Language Identification

Abstract: 

A novel interpretable end-to-end learning scheme for language identification is proposed. It is in line with the classical GMM i-vector methods both theoretically and practically. In the end-to-end pipeline, a general encoding layer is employed on top of the front-end CNN, so that it can encode the variable-length input sequence into an utterance level vector automatically. After comparing with the state-of-the-art GMM i-vector methods, we give insights into CNN, and reveal its role and effect in the whole pipeline. We further introduce a general encoding layer, illustrating the reason why they might be appropriate for language identification. We elaborate on several typical encoding layers, including a temporal average pooling layer, a recurrent encoding layer and a novel learnable dictionary encoding layer. We conducted experiment on NIST LRE07 closed-set task, and the results show that our proposed end-to-end systems achieve state-of-the-art performance.

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Paper Details

Authors:
Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li
Submitted On:
13 April 2018 - 9:32am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Weicheng Cai
Paper Code:
3855
Document Year:
2018
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Document Files

poster_weichcai_icassp2018_e2e.pdf

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[1] Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li, "Insights into End-to-End Learning Scheme for Language Identification", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2699. Accessed: Sep. 17, 2019.
@article{2699-18,
url = {http://sigport.org/2699},
author = {Weicheng Cai; Zexin Cai; Wenbo Liu; Xiaoqi Wang; Ming Li },
publisher = {IEEE SigPort},
title = {Insights into End-to-End Learning Scheme for Language Identification},
year = {2018} }
TY - EJOUR
T1 - Insights into End-to-End Learning Scheme for Language Identification
AU - Weicheng Cai; Zexin Cai; Wenbo Liu; Xiaoqi Wang; Ming Li
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2699
ER -
Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li. (2018). Insights into End-to-End Learning Scheme for Language Identification. IEEE SigPort. http://sigport.org/2699
Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li, 2018. Insights into End-to-End Learning Scheme for Language Identification. Available at: http://sigport.org/2699.
Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li. (2018). "Insights into End-to-End Learning Scheme for Language Identification." Web.
1. Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li. Insights into End-to-End Learning Scheme for Language Identification [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2699