Search Results for author:
Found 3 papers, 1 papers with code
U-vectors: Generating clusterable speaker embedding from unlabeled data
The robustness of a speaker recognition system mainly depends on the extraction process of speech embeddings, which are primarily pre-trained on a large-scale dataset.
A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks
Increased accuracy in predictive models for handwritten character recognition will open up new frontiers for optical character recognition.
Optical Character Recognition
Optical Character Recognition (OCR)
+1
Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network
In this study, a prediction system for the disease of diabetes is pre-sented where the issue of overfitting is minimized by using the dropout method.
