Comparative Analysis of Different Parameters used for Optimization in the Process of Speaker and Speech Recognition using Deep Neural Network

Author:

Natarajan Sureshkumar1,Al-Haddad Syed Abdul Rahman1,Ahmad Faisul Arif1,Hassan Mohd Khair2,Kamil Raja2,Azrad Syaril3,Yahya Mohammed Nawfal1,Macleans June Francis4,Salvekar Pratiksha Prashant5

Affiliation:

1. Universiti Putra Malaysia,Department of Computer and Communication Systems Engineering,Serdang,Malaysia

2. Universiti Putra Malaysia,Department of Electrical and Electronic Engineering,Serdang,Malaysia

3. Universiti Putra Malaysia,Department of Aerospace Engineering,Serdang,Malaysia

4. Managing Director Reinsurance Cafe Labuan Limited,Labuan,Malaysia

5. Graduate Engineer Trainee Endress and Hauser,Mumbai,India

Funder

Universiti Putra Malaysia

Publisher

IEEE

Reference15 articles.

1. Rectifier Non-linearities Improve Neural Network Acoustic Models;maas;Proceedings of the 30th International Conference on Machine Learning (ICML),2013

2. Optimization of the Speaker Recognition in Noisy Environments Using a Stochastic Gradient Descent

3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization;duchi;Journal of Machine Learning Research,2011

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