Speech-to-Text (STT)
Technology that converts spoken language into written text in real time, also known as automatic speech recognition (ASR).
Understanding Speech-to-Text (STT)
Speech-to-text technology, also called automatic speech recognition (ASR) or speech recognition, converts human speech into written text. Modern STT systems use deep learning neural networks trained on vast amounts of audio data to achieve high accuracy across accents, speaking speeds, and acoustic environments. STT is the foundational technology that makes real-time translation possible — you must first accurately convert speech to text before it can be translated to another language.
How Selah Translate Uses Speech-to-Text (STT)
Selah Translate uses Soniox, a state-of-the-art speech recognition engine, for real-time speech-to-text conversion. The system handles multiple accents, speaking speeds, and acoustic environments. It includes intelligent sentence boundary detection that groups speech into natural segments for better translation accuracy. The transcribed text is displayed in the Translation Studio and used as input for the neural machine translation step.
Related Terms
Real-Time Translation
The instant conversion of spoken or written language from one language to another as it occurs, with minimal perceivable delay.
Text-to-Speech (TTS)
Technology that converts written text into natural-sounding spoken audio, enabling computers to "read aloud" in multiple languages.
Automatic Speech Recognition (ASR)
Technology that enables computers to understand and transcribe human speech into text, also known as speech-to-text or voice recognition.