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Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU Cover

Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 4 (October 2019)
By: Apeksha Shewalkar,  Deepika Nyavanandi and  Simone A. Ludwig  
Open Access
|Aug 2019

Authors

Apeksha Shewalkar

Department of Computer Science, North Dakota State University, Fargo

Deepika Nyavanandi

Department of Computer Science, North Dakota State University, Fargo

Simone A. Ludwig

simone.ludwig@ndsu.edu

Department of Computer Science, North Dakota State University, Fargo
DOI: https://doi.org/10.2478/jaiscr-2019-0006
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Language: English
Page range: 235 - 245
Submitted on: Sep 29, 2018
Accepted on: Mar 10, 2019
Published on: Aug 30, 2019
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Spectrogram,
Connectionist Temporal Classification,
TED-LIUM data set
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2019 Apeksha Shewalkar, Deepika Nyavanandi, Simone A. Ludwig, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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