What is speech-to-text? — Complete Guide
Speech-to-text (STT), also called automatic speech recognition (ASR), is technology that converts spoken audio into written text. It is a core component of voice AI systems, enabling machines to understand what users say by transcribing speech into processable text in real time.
Answer
Speech-to-text (STT), also called automatic speech recognition (ASR), is technology that converts spoken audio into written text. It is a core component of voice AI systems, enabling machines to understand what users say by transcribing speech into processable text in real time.
Frequently Asked Questions
How accurate is speech-to-text?
Leading STT systems achieve 95-98% accuracy for clear English audio. Accuracy decreases with background noise, heavy accents, and specialized terminology but continues to improve yearly.
What is the difference between STT and ASR?
They are the same technology. Speech-to-text (STT) is the common industry term, while automatic speech recognition (ASR) is the academic term. Both convert spoken audio to text.
Can STT work in real time?
Yes. Streaming STT produces partial transcriptions as the user speaks, with latency as low as 100-300 milliseconds. This is essential for voice AI conversations.
Does STT work offline?
Yes. Models like Whisper can run locally on-device without internet. However, cloud-based STT generally offers better accuracy and supports more languages.
How does STT handle different accents?
Modern STT models are trained on diverse speech datasets covering many accents. Performance varies — standard American and British English are most accurate, while less common accents may have higher error rates.
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