Automatic speech recognition
Also called: ASR · speech to text
By HubAI editorial team · Source checked: 24 October 2026What does it mean?
Converting speech into text. Some systems also attempt speaker separation or timestamps, but those features have their own limits.
Picture this
A meeting tool drafts a transcript. You check names, figures and who said what before turning it into minutes or sending it to colleagues.
Where you’ll come across it
Captions, transcription, voice interfaces and accessibility. Test the accents, languages and background noise common in your own recordings.
What it doesn’t mean
Overlapping speakers and unclear audio can change meaning. A transcript is not a verified quotation until someone checks the relevant recording and any privacy requirements.
Check what the system actually captured
A short exercise · use fictional or non-sensitive material.
- Use a short sample you own or have permission to process. Avoid other people’s private recordings.
- Compare the output with the original, checking names, numbers, small print or unclear speech.
- Mark uncertain details rather than quietly filling them in. Check usage rights separately before publishing.
Would someone relying on this output notice the same uncertainty you did?
Did that make it clearer?
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Written and explained by HubAI. The reference below lets you go deeper; it is not an endorsement of a particular product.
Technical reference: huggingface.co ↗