Speech-to-Text (STT)

Speech-to-Text (STT) is a technology that converts spoken language into written text. It processes audio input, often from a microphone, using algorithms that analyze the sound waves and match them to known phonemes and words within a language. STT systems may utilize various techniques, including machine learning and natural language processing, to improve accuracy and handle various accents, dialects, and background noise. This technology is commonly used in applications like virtual assistants, transcription services, voice recognition software, and accessibility tools for individuals with hearing difficulties. The goal of STT is to facilitate the seamless conversion of verbal communication into a textual format, enhancing interactions and providing useful functionality in numerous contexts.