Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition

by   Thejan Rajapakshe, et al.

Deep reinforcement learning (deep RL) is a combination of deep learning with reinforcement learning principles to create efficient methods that can learn by interacting with its environment. This led to breakthroughs in many complex tasks that were previously difficult to solve. However, deep RL requires a large amount of training time that makes it difficult to use in various real-life applications like human-computer interaction (HCI). Therefore, in this paper, we study pre-training in deep RL to reduce the training time and improve the performance in speech recognition, a popular application of HCI. We achieve significantly improved performance in less time on a publicly available speech command recognition dataset.


page 1

page 2

page 3

page 4


Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition

Deep reinforcement learning (deep RL) is a combination of deep learning ...

A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition

Reinforcement Learning (RL) is a semi-supervised learning paradigm which...

BackpropTools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

Deep Reinforcement Learning (RL) has been demonstrated to yield capable ...

Pretraining Reinforcement Learning: Sharpening the Axe Before Cutting the Tree

Pretraining is a common technique in deep learning for increasing perfor...

Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database

Recent years, the database committee has attempted to develop automatic ...

Enhancing Reinforcement Learning with discrete interfaces to learn the Dyck Language

Even though most interfaces in the real world are discrete, no efficient...

Training Larger Networks for Deep Reinforcement Learning

The success of deep learning in the computer vision and natural language...

Please sign up or login with your details

Forgot password? Click here to reset