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.
Understanding Automatic Speech Recognition (ASR)
Automatic speech recognition (ASR) is the technology that converts human speech into written text. Modern ASR systems use deep learning models trained on thousands of hours of audio data across languages, accents, and speaking styles. Key challenges include handling background noise, accented speech, domain-specific vocabulary, and real-time processing requirements. ASR accuracy is typically measured by word error rate (WER), with top systems achieving below 5% WER in ideal conditions.
How Selah Translate Uses Automatic Speech Recognition (ASR)
Selah Translate uses Soniox, a cutting-edge ASR engine that delivers highly accurate real-time transcription across multiple languages and accents. The system includes intelligent sentence boundary detection that groups speech into natural segments, improving both the readability of transcriptions and the accuracy of subsequent translations.