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Found 5 papers, 2 papers with code
Differential Evolution Algorithm based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition
Speech Command Recognition (SCR), which deals with identification of short uttered speech commands, is crucial for various applications, including IoT devices and assistive technology.
Empirical analysis of Different Dimensionality Reduction and Classification Techniques for Epileptic Seizure detection
The simulation results provide 100% accuracy for the LDA and NB combination outperforming accuracy with other classifiers combinations, including 89. 17% for LDA and SVM, 80. 42% for LDA and KNN, 89. 92% for PCA and NB, 85. 58% PCA and SVM, 80. 42% PCA and KNN, 82. 33% for ICA and NB, 90. 42% for ICA and SVM, 90% for ICA and KNN.
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers
After the extraction of the coefficients, principal component analysis (PCA) has been applied on different sub-bands and then a feature level fusion technique is used to extract the important features in low dimensional feature space.
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion
VC task is performed through a three-stage pipeline consisting of speech analysis, speech feature mapping, and speech reconstruction.
Accuracy Improvement of Neural Network Training using Particle Swarm Optimization and its Stability Analysis for Classification
Supervised classification is the most active and emerging research trends in today's scenario.
