Speech To Text
Speech To Text (STT) is a technology that converts spoken language into written text using automatic speech recognition (ASR) algorithms. It processes audio input, transcribes it into text, and is widely used in applications like voice assistants, transcription services, and accessibility tools. Modern STT systems leverage machine learning and deep learning models to achieve high accuracy across various languages and accents.
Developers should learn and use Speech To Text when building applications that require hands-free interaction, real-time transcription, or accessibility features, such as in voice-controlled interfaces, call center analytics, or assistive technologies for the hearing impaired. It is essential for projects involving natural language processing, where converting speech to text is the first step in understanding user intent, enabling use cases like voice search, automated captioning, and voice commands in smart devices.