EXPLORING THE IMPACT OF DATA AUGMENTATION TECHNIQUES ON AUTOMATIC SPEECH RECOGNITION SYSTEM DEVELOPMENT: A COMPARATIVE STUDY

Exploring the Impact of Data Augmentation Techniques on Automatic Speech Recognition System Development: A Comparative Study

Automatic Speech Recognition (ASR) systems are notorious for their poor performance in adverse conditions, leading to high sensitivity and low robustness.Due to the costly and time-consuming nature of creating extensive speech databases, addressing the issue of low robustness has become a prominent area of research, focusing on the synthetic genera

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Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks

Abstract This study aimed to evaluate acute pancreatitis (AP) severity using convolutional neural network (CNN) models with enhanced michael harris sunglasses computed tomography (CT) scans.Three-dimensional DenseNet CNN models were developed and trained using the enhanced CT scans labeled with two severity assessment methods: the computed tomograp

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A Solar Thermal Application for Mongolian Detached Houses: An Energy, Environmental, and Economic Analysis Based on Dynamic Simulations

Ulaanbaatar (Mongolia) is the coldest capital city in the world with approximately 98% of its read more heating demand satisfied by means of coal-burning stoves.This leads to enormous air pollutant emissions, with Ulaanbaatar being one of the top five most polluted cities in the world.In this study, an innovative solar hybrid heating system for the

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