First, write down what was said.
The organiser sends a microphone or mixer feed to Baian. Speech recognition turns that sound into text in the speaker’s language. This is transcription.
Translation is a separate step: it expresses those words in another language. An English transcript and an Arabic translation can therefore describe the same passage while using different words and sentence order.
The source text gives the translation its starting point. A muffled word, an unfamiliar name or overlapping voices can affect what follows, so clear audio matters throughout the process.
Follow a passage.
Follow the arrows from the spoken words to what the listener receives.
Speech
Illustrative English speechFatima borrowed the book last week.
She returned it today.
Baian
She returned it today.
Fatima borrowed the book last week.
أعادته اليوم.
Final translated text
أعادته اليوم.
Translated audio, where enabled
The text and timings in this example are illustrative. This is not a recording, a live demo or a speed measurement.
Give the thought time to take shape.
Baian receives speech a piece at a time. Captions and translation previews can appear while the speaker is talking. As more words arrive, the meaning becomes clearer and that early wording may change.
For the final translation, Baian gathers a passage to translate together. Punctuation and pauses help mark the boundary; a long stretch of speech also has a word limit. The passage might be a sentence, a clause or a shorter phrase.
It therefore does not always wait for a full sentence. It uses the words spoken so far and the earlier conversation to work out the intended meaning.
Earlier words help explain the current ones.
Consider “she returned it.” To translate that well, it helps to know who “she” is and what “it” refers to. Baian uses earlier speech and previous translations alongside the current passage.
That context helps it follow references, keep terminology consistent and express the speaker’s intent in the listener’s language. If the organiser has supplied information about the session, that can help too.
Context improves the starting point. It does not remove the need to check important names, quotations or specialist meaning.
Quran passages have a retrieval step.
When the source text contains an Arabic Quran passage, Baian can compare it with its Quran text collection. A detected match supplies a verse reference, the canonical Arabic and stored verse translations for use in the final translation.
This gives the translation a retrieved source for a recognised quotation. The surrounding explanation still needs ordinary translation, and a partial quotation needs to stay distinct from the speaker’s commentary.
Detection depends on the words that reached the transcript. An unclear recording or a short, shared phrase can be difficult to match. Stored translations also vary by language. Review important quotations before publishing or relying on them.
Why we built BaianFinal passages reach the listener in order.
The final text for each language is delivered in passage order. Where translated audio is enabled, that text also goes to speech generation and joins the audio queue for the language.
Text and sound have different delivery steps, so they do not necessarily arrive together. A listener can follow in their phone’s browser after opening the room link or scanning its QR code.
Before an event, test the full route with the actual microphone, connection and listener device. Check a passage with names, a quotation and an ordinary pause, then compare the original speech with the final text and audio.