Morse Code Conversion

Morse code conversion is experiencing renewed interest across diverse applications, driven by advancements in machine learning and algorithm optimization. Current research focuses on improving the accuracy and efficiency of Morse code conversion for speech recognition, particularly aiding individuals with disabilities, and integrating it into novel communication systems like gesture-based interfaces for emergency responders. These efforts leverage deep learning models, including convolutional neural networks and retrieval-augmented generation, to enhance both the speed and reliability of conversion processes, ultimately impacting accessibility and communication in various fields.