Machine learning based classification of EEG signal for detection of child epileptic seizure without snipping
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long-
term EEG recordings of an epileptic patient contain a huge amount of EEG data. Therefore …
term EEG recordings of an epileptic patient contain a huge amount of EEG data. Therefore …
Performance Analysis of Speech Enhancement Techniques
M Jodwal, S Kumar, L Colney… - 2024 First International …, 2024 - ieeexplore.ieee.org
Noise presents a significant challenge in signal processing, especially with speech signals
that are prone to various types of acoustical disturbances like babble noise or street noise …
that are prone to various types of acoustical disturbances like babble noise or street noise …
Speech Signal Feature Extraction Method of Tibetan Speech Synthesis System Based on Machine Learning
Z Liu - International Conference on Advanced Hybrid …, 2021 - Springer
In order to improve the accuracy of Tibetan speech synthesis, a feature extraction method of
Tibetan speech synthesis system based on machine learning is proposed. Based on the …
Tibetan speech synthesis system based on machine learning is proposed. Based on the …