Automated Speech Recognition

Automated Speech Recognition (ASR) is technology that converts spoken language into written text using computer algorithms. It analyzes the sounds and patterns of speech, identifying words based on their audio features and context. ASR systems are used in applications like voice assistants, transcription services, and voice-controlled devices. They learn from vast amounts of speech data to improve accuracy and handle different accents, speeds, and noise environments. Essentially, ASR bridges the gap between human speech and digital text, enabling machines to understand and respond to spoken commands or transcribe spoken content efficiently.