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What Is ASR? Automatic Speech Recognition Explained

ASR (Automatic Speech Recognition) is the technology that converts spoken audio into written text, the foundation of AI captions, dictation, and voice assistants.

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By Sumit DeyUpdated

Glossary

ASR

ASR, Explained

ASR (Automatic Speech Recognition) is the field of technology that converts audio recordings of speech into written text. Modern ASR systems are typically built on deep neural networks trained on thousands of hours of paired audio and transcripts. The best modern models are trained on hundreds of thousands of hours of multilingual audio and cover 99+ languages. ASR systems vary in: language coverage, word-level timing accuracy, handling of code-switching (e.g. Hinglish), domain-specific accuracy (medical, legal, technical), and real-time vs batch processing. Captioning tools rely on ASR to produce the raw transcript before applying timing, styling, and effects. The terms 'ASR' and 'STT' (Speech-to-Text) are essentially synonymous.

ASR Examples

  • An AI model transcribing a podcast into text.
  • Siri converting your voice command into a search query.
  • Live captions appearing on a Zoom call.
Related

Terms Related to ASR

FAQ

ASR, answered

  • What does ASR stand for?

    ASR stands for automatic speech recognition: software that turns spoken audio into written text. It is the first step behind automatic captions, video transcripts, meeting notes and voice typing on your phone.

  • How accurate is ASR?

    For clear audio in a common language, modern ASR gets the large majority of words right. Accuracy drops with background noise, strong accents it has not heard much, overlapping speakers and specialist vocabulary.

  • Is ASR the same as speech-to-text?

    Yes. ASR and speech-to-text, often shortened to STT, describe the same technology. ASR is the more common term in research papers, and speech-to-text is more common in product names and apps.

  • How is ASR used in video captions?

    The caption tool sends the video's audio through ASR, gets back the words with timestamps, then turns those into timed captions that you can check, edit, style and export as video or subtitle files.

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