Efficient Feature-Aware Hybrid Model of Deep Learning Architectures for Speech Emotion Recognition

Efficient Feature-Aware Hybrid Model of Deep Learning Architectures for Speech Emotion Recognition

Robust automatic speech emotional-speech recognition architectures based on hybrid convolutional neural networks (CNN) and feedforward deep neural networks are proposed and named in this paper as: BFN, CNA, and HBN. BFN is a combination between bag-of-Audio-word (BoAW) and feedforward deep neural ne...

Full description

Bibliographic Details
Main Authors: Mai Ezz-Eldin, Ashraf A. M. Khalaf, Hesham F. A. Hamed, Aziza I. Hussein
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bag-of-acoustic-words
convolutional neural network
feedforward deep neural network
hybrid features
Mel frequency cepstral coefficients
support vector machine
Online Access:https://ieeexplore.ieee.org/document/9334975/

Internet

https://ieeexplore.ieee.org/document/9334975/

Similar Items