Audio Classification for Feature-Based Majority Voting Optimization and Hyperparametric Tuning

This paper presents an optimized audio recognition system that integrates feature-based and deep learning approaches, fine-tuned for high-accuracy classification. The study builds upon previous research, where all possible feature-classifier combinations were analyzed to determine the most effective...

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Bibliographic Details
Published in:	2025 33rd European Signal Processing Conference (EUSIPCO) pp. 1412 - 1416
Main Authors:	Telembici, Lorena, Rusu, Corneliu
Format:	Conference Proceeding
Language:	English
Published:	European Association for Signal Processing - EURASIP 08.09.2025
Subjects:	Accuracy Audio recognition audio-based assistive systems Box and whisker plot Classification Performance CNN Hyperparameter tuning kNN Majority voting Melspectrograms MFCC Performance metrics Pipelines Robustness Spectrogram spectrograms Speech recognition Stability analysis SVM Thermal stability Training Tuning
Online Access:	Get full text
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