A Hybrid of Deep CNN and Bidirectional LSTM for Automatic Speech Recognition
Deep neural networks (DNNs) have been playing a significant role in acoustic modeling. Convolutional neural networks (CNNs) are the advanced version of DNNs that achieve 4–12% relative gain in the word error rate (WER) over DNNs. Existence of spectral variations and local correlations in speech sign...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2019-03-01
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Series: | Journal of Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1515/jisys-2018-0372 |