Ashwini K
Biographic Data
| ID | 10034707 |
|---|---|
| NAME | Ashwini K |
| GIVEN NAMES | K |
| FAMILY NAME | Ashwini |
| SIGNATURE | K A |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio signals in recent days. In deep learning techniques, it automatically extracts and selects the most important features. For this, it requires an enormous amount of data for effective classification. This …
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Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio signals in recent days. In deep learning techniques, it automatically extracts and selects the most important features. For this, it requires an enormous amount of data for effective classification. This …
Artificial Intelligence (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Deep learning (1 work) · Feature extraction (1 work) · Feature selection (1 work) · Infant Health and Development (1 work) · Machine learning (1 work) · Preprocessor (1 work) · Spectrogram (1 work)