Speech Emotion Recognition Using a Multi-Time-Scale Approach to Feature Aggregation and an Ensemble of SVM Classifiers

Speech Emotion Recognition Using a Multi-Time-Scale Approach to Feature Aggregation and an Ensemble of SVM Classifiers

Due to its relevant real-life applications, the recognition of emotions from speech signals constitutes a popular research topic. In the traditional methods applied for speech emotion recognition, audio features are typically aggregated using a fixed-duration time window, potentially discarding info...

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Bibliographic Details
Main Authors: Antonina STEFANOWSKA, Sławomir Krzysztof ZIELIŃSKI
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2024-03-01
Series:Archives of Acoustics
Subjects:
speech emotion recognition
feature aggregation
ensemble classification
Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/3790
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