Automatic Speech Recognition

Automatic Speech Recognition (ASR) is a technology that converts spoken language into text. It works by using algorithms to analyze sound waves and identify words and phrases. ASR systems are used in applications like voice assistants (e.g., Siri, Alexa), transcription services, and voice-activated controls. They rely on large datasets of spoken language to learn how to recognize different accents and contexts. While ASR has advanced significantly, challenges like accents, background noise, and the complexity of human speech still exist, requiring ongoing improvements for greater accuracy and efficiency in understanding natural language.