Romanian speech to text: published error rate

By the Potok teamUpdated ~2 min read

Romanian speech to text in Potok is a recommended language, and published tests of the large-v3 model give a word error rate of 8.2. The figure comes from other people's work, not our measurement. Send voice notes, audio or video to the bot, then read the result.

Transcribe a recording

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Files up to 2 GB · export to TXT, MD, DOCX, PDF, SRT and VTT · speaker labels and timestamps · about 30 languages

Key facts

  • Two separate published sources back the figure, which makes it a steadier data point than a single test.
  • Romanian uses five marked letters, and some systems write them with cedillas instead of commas, so a search in your text may miss words.
  • Definite articles attach to the end of the noun, so word endings carry meaning worth proofreading.
  • At 8.2 expect an error in roughly one word out of twelve against a human reference.

What a transcript looks like

Sample sentence in Romanian
[00:00] Speaker 1: Să începem ședința. Mai întâi vom analiza rezultatele săptămânii trecute, apoi vom planifica următorii pași.

Meaning in English: Let's start the meeting. First, we'll review last week's results, then plan the next steps.

Written by us to show the script and the layout of a transcript. It is not the output of the recognition engine.

Published quality

Quality for this language
LanguageVerdictPublished resultNotes
Romanian (Română)Recommendedword error rate 8.2% (large-v3, FLEURS)
Canary-1B-v2 paper, Whale paper
Published tests show a low error rate for this language.

These numbers come from published tests by other people, not from tests by Potok. Your own audio, with its noise, accents and microphone, will differ.

How to do it

  1. Prepare the file. Voice notes, calls and lectures all work. Keep the original rather than a re-encoded copy, and note the speakers' names beforehand.
  2. Hand it to the bot. Open @potok_now_bot and send the file or a link.
  3. Use Upload for the heavy ones. Up to 2 GB is allowed through the Upload button.
  4. Standardise diacritics. Run a find-and-replace so every marked letter uses one form.
  5. Read endings. Scan articles and plural endings on nouns, where small changes alter meaning.
  6. Choose a format. TXT, MD, DOCX, PDF, SRT or VTT.
What Potok can do
FeatureDetails
Where it worksTelegram bot @potok_now_bot; large files go through the bot's mini app
File sizeUp to 2 GB
ExportTXT, MD, DOCX, PDF, SRT, VTT
Speakers and timeSpeaker labels and timestamps can be switched on
LanguagesAbout 30 languages with good published results; a few more with warnings
TranslationThe transcript is not translated into another language
DictationA separate Potok desktop app lets you dictate text into any program; it recognises Russian speech

Common mistakes

Common mistakes and how to fix them
MistakeWhat happensFix
Searching a transcript without checking diacritic formsTwo encodings of one letter hide matches.Normalise the letters once, then search.
Reading 8.2 as exactIt is a published figure for other audio.Check names, numbers and quotes.
Sending a recording with music under the voiceMusic masks consonants.Use a version without the music if one exists.
Skipping speaker labels in an interviewQuestions and answers merge.Turn labels on first.

More

See the full list of languages, the tools and the glossary.

Frequently asked questions

What is the published score?

A word error rate of 8.2 for the large-v3 model, reported by others.

How many sources give the number?

Two published sources were used for Romanian, which makes the figure steadier than one based on a single test.

Why do some letters look different?

Some systems write the marked letters with cedillas and others with commas, so normalise them.

Does the bot change the language of the transcript?

No. The text stays in Romanian, in the language of your recording, with no second language added.

Can I get captions?

Yes. Turn timestamps on and export SRT or VTT.

Sources

Each source was opened by hand on the date shown. Pages change, so open the source if a detail matters to you.

  1. Word error rate (Wikipedia), Wikipedia · checked
  2. FLEURS speech dataset (Google, Hugging Face), Hugging Face · checked
  3. Canary-1B-v2 paper, Table 11 (Whisper large-v3 on FLEURS) · checked
  4. Whale paper, Table 5 (Whisper large-v3 on FLEURS) · checked

Try it on your own recording

Send your voice message, audio or video to @potok_now_bot on Telegram and the text comes back in the chat.

Open @potok_now_bot in Telegram