Robust Feature Selection-Based Speech Emotion Classification Using Deep Transfer Learning

Speech Emotion Classification (SEC) relies heavily on the quality of feature extraction and selection from the speech signal. Improvement on this to enhance the classification of emotion had attracted significant attention from researchers. Many primitives and algorithmic solutions for efficient SEC...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Samson Akinpelu, Serestina Viriri
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-08-01
Serie:	Applied Sciences
Soggetti:	feature selection speech emotion classification deep convolutional neural network transfer learning
Accesso online:	https://www.mdpi.com/2076-3417/12/16/8265
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!