Isolated Word Speech Recognition System Using Deep Neural Networks

2016 ◽  
pp. 9-17 ◽  
Author(s):  
Dhavale Dhanashri ◽  
S. B. Dhonde
Keyword(s):  
Neural Networks ◽  
Speech Recognition ◽  
Deep Neural Networks ◽  
Recognition System ◽  
Speech Recognition System ◽  
Isolated Word

scholarly journals Improving bottleneck features for Vietnamese large vocabulary continuous speech recognition system using deep neural networks

2016 ◽  
Vol 31 (4) ◽  
pp. 267
Author(s):  
Bao Quoc Nguyen ◽  
Thang Tat Vu ◽  
Mai Chi Luong
Keyword(s):  
Neural Networks ◽  
Speech Recognition ◽  
Error Rate ◽  
Deep Neural Networks ◽  
Recognition Performance ◽  
Recognition System ◽  
Speech Recognition System ◽  
Training Method ◽  
Continuous Speech Recognition ◽  
Word Error Rate

In this paper, the pre-training method based on denoising auto-encoder is investigated and proved to be good models for initializing bottleneck networks of Vietnamese speech recognition system that result in better recognition performance compared to base bottleneck features reported previously. The experiments are carried out on the dataset containing speeches on Voice of Vietnam channel (VOV). The results show that the DBNF extraction for Vietnamese recognition decreases relative word error rate by 14 % and 39 % compared to the base bottleneck features and MFCC baseline, respectively.

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