Transfer learning based feature selection for feedforward neural network for speech emotion classifier

Transfer learning based feature selection for feedforward neural network for speech emotion classifier

This work discusses speech emotion recognition via custom feature engineering and feature selection techniques using mel-frequency cepstral coefficients as initial audio features. Proposed transfer learning approach consist in employing the backward-step selection algorithm for feature selection usi...

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Bibliographic Details
Main Authors: D. V. Krasnoproshin, M. I. Vashkevich
Format: Article
Language:English
Published: Belarusian National Technical University 2025-04-01
Series:Системный анализ и прикладная информатика
Subjects:
speech emotion recognition
feature selection
mfcc
neural networks
linear discriminant analysis
support vector machine
Online Access:https://sapi.bntu.by/jour/article/view/729
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