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End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin

Abstract: 

Traditional hybrid DNN-HMM based ASR system for keywords spotting which models HMM states are not flexible to optimize for a specific language. In this paper, we construct an end-to-end acoustic model based ASR for keywords spotting in Mandarin. This model is constructed by LSTM-RNN and trained with objective measure of connectionist temporal classification. The input of the network is feature sequences, and the output the probabilities of the initials and finals of Mandarin syllables. Compared with hybrid based ASR systems, the end-to-end system achieves a significant improvement of 6.32% on ATWV relatively. The best result of our system is ATWV 0.8310 on RASC863 data set. The proposed CTC based method applies to KWS in a specific language.

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Paper Details

Authors:
Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao
Submitted On:
14 October 2016 - 4:44am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Ye Bai
Document Year:
2016
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Ye Bai Poster.pdf

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[1] Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao, "End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1184. Accessed: Feb. 18, 2020.
@article{1184-16,
url = {http://sigport.org/1184},
author = {Ye Bai; Jiangyan Yi; Hao Ni; Zhengqi Wen; Bin Liu; Ya Li; Jianhua Tao },
publisher = {IEEE SigPort},
title = {End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin},
year = {2016} }
TY - EJOUR
T1 - End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin
AU - Ye Bai; Jiangyan Yi; Hao Ni; Zhengqi Wen; Bin Liu; Ya Li; Jianhua Tao
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1184
ER -
Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao. (2016). End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin. IEEE SigPort. http://sigport.org/1184
Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao, 2016. End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin. Available at: http://sigport.org/1184.
Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao. (2016). "End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin." Web.
1. Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao. End-to-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1184