Discriminative neural network pruning in a multiclass environment: A case study in spoken emotion recognition

Volume: 120, Pages: 20 - 30
Published: Jun 1, 2020
Abstract
Deep learning has become one of the most widely accepted paradigms regarding machine learning. It focuses on the use of hierarchical data models and builds upon the notion that in order to learn about high level data representations, a better understanding of intermediate level representation is needed. Restricted Boltzmann Machines and deep belief networks are two main types of deep learning algorithms commonly used in a wide array of...
Paper Details
Title
Discriminative neural network pruning in a multiclass environment: A case study in spoken emotion recognition
Published Date
Jun 1, 2020
Volume
120
Pages
20 - 30
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