Beta · free · about 40 seconds · no signup
Accent guesser: what accent do I have?
Read one short passage out loud and the accent guesser tells you which accent your English sounds closest to, with a percentage and how sure it is. It is a guess from 40 seconds of speech, so it can be wrong. Tell it when it is, and it learns.
You will read this aloud
Last Thursday, my brother Victor rode his old bike to the village to buy three things: fresh bread, a dozen eggs and a jar of olive oil. The weather was wild, so he waited with his friends at the bus stop. Then he walked past the little shops and the empty bank.
A woman in a red jacket asked him the way to the museum. “I think it’s the third street on the left,” he laughed, “just behind the river.” When he finally reached the hill, the sheep in the field looked at him, and he smiled.
Before you start: This tool uses AI to guess your accent from your voice. Your recording is analysed and deleted right away unless you choose to share it. Pressing Start opens your microphone and means you agree.
About 40 seconds · 15 seconds minimum · stops by itself at 60
How the accent guesser works
- 1
Read one passage
Everyone reads the same 97-word passage about Victor’s trip to the village. It is written to bring out the sounds where accents differ most: th, v and w, r and l, the vowels of ship and sheep and of bed and bad, word endings and word stress.
- 2
An AI model listens
A Whisper-based speech model, open source, turns your reading into an acoustic fingerprint. A small classifier trained on public voice datasets and on recordings from TonePerfect learners, each labelled with the speaker’s accent or first language, compares it with the accents it knows.
- 3
Native or not, then which accent
It first estimates how likely English is your first language, then picks the closest accents. The percentages are calibrated on test speakers it never heard in training. When two related accents are almost tied it names the family instead, and when nothing fits well it says “hard to place”.
- 4
Tell it if it was right
After the guess you can say whether it was right and what your first language is. Those answers are how the guesser will learn the accents it does not know yet. Your recording is only kept if you tick the box.
Which accents it can guess
The guesser only names accents it recognised well enough on an independent test set of people it never heard in training. The rest are in the model but not shown yet; every “What’s your first language?” answer helps add them.
- Native English
- American English, Australian English, Canadian English, English (England), Irish English, New Zealand English, Scottish English, South African English
- American and Canadian are so close that it names them together as North American.
- First languages
- Filipino (Tagalog), German, Indian (Hindi / South Asian languages), Malay / Indonesian, Mandarin Chinese, Russian, Spanish, Turkish, Vietnamese
- Right about half the time or more on the test set; the right answer is often in the top three.
- Less reliable for now
- Cantonese (Hong Kong), French, Japanese, Korean, Polish
- Shown, but right less than half the time on the test set. Treat these as a hint.
- Not guessable yet
- Arabic, Italian, Portuguese (Brazil), Ukrainian
- And every language not listed. Tell the guesser your first language after a guess: those answers are how we add them.
Why it is a guess, not a verdict
An accent is a pattern of sounds, rhythm and melody, and many first languages share parts of it: th said as s, or the vowels of “ship” and “sheep” merged, are common to speakers of dozens of languages. From 40 seconds of reading, the guesser hears enough to make a good guess for the accents it knows well, and a weak one for the rest. That is why it shows percentages, says how sure it is, names a language family when two related accents are tied, and says “hard to place” when nothing fits.
We do not publish an accuracy figure yet: it has not been measured on real browser recordings. Your answers to “Was I right?” are how we will measure it, language by language, and how it will learn the accents it does not know.
The sounds to work on under your result are something else: the same recording, scored sound by sound against the passage by our English pronunciation engine. They show what to practise, not why the guesser chose its answer.
More free English accent tools
Questions about the accent guesser
How does the accent guesser work?+
You read a fixed passage of about 100 words. A Whisper-based AI model (Whisper is an open-source speech model) turns your voice into an acoustic fingerprint, and a classifier trained on public voice datasets and on recordings from TonePerfect learners, each labelled with the speaker’s accent or first language, compares it with the accents it knows. It first estimates how likely English is your first language, then gives its top guesses with calibrated percentages. American and Canadian English are so close that it names them together.
Which accents can it guess?+
Native English: American English, Australian English, Canadian English, English (England), Irish English, New Zealand English, Scottish English, South African English. First languages: Filipino (Tagalog), German, Indian (Hindi / South Asian languages), Malay / Indonesian, Mandarin Chinese, Russian, Spanish, Turkish, Vietnamese, and, less reliably for now, Cantonese (Hong Kong), French, Japanese, Korean, Polish. Not yet: Arabic, Italian, Portuguese (Brazil), Ukrainian, and every language not listed here: the guesser does not recognise those speakers well enough yet. If your first language is not on the list, it guesses the closest accent it knows, which is often wrong. When you tell it your first language after a guess, that answer is what lets us add it.
Why did it get my accent wrong?+
Because it is a guess from 40 seconds of speech. The common reasons: your first language is one it was not trained on; you speak more than one language or have lived in several countries; your microphone or room changed how you sound; or two accents are simply close. Tell it what your first language is after the guess: those answers are how it gets better.
How accurate is it?+
We do not publish an accuracy figure yet, because we have not measured one on real browser recordings. On research recordings of people reading a passage it is often right for the accents it knows, and the right answer is often in its top three, but it is clearly worse for some languages. We will publish per-language numbers once enough people have told us whether it was right.
Can it tell where I am from?+
No. It guesses which accent your English sounds closest to, among the accents it knows. An accent is not where you are from, what passport you hold or who you are, and many people sound like a place they have never lived. It is a game and a practice aid, not a test to make decisions about anyone.
What happens to my recording?+
It is analysed and then deleted: it is never written to disk, and it is held in memory for at most 15 minutes only so that the “Keep my recording” box can work (answering the question without ticking it deletes it at once). Nothing is kept unless you tick “Keep my recording to help improve the guesser” after your result; then it is stored anonymously, without your name or email, and you can ask us to delete it. The same recording is also scored for pronunciation by our English engine, which does not keep it either. No signup, no account.
Is the accent guesser free?+
Yes. It runs in your browser with no signup and no download, a few guesses a day. The TonePerfect app, on iPhone, Android and the web, adds daily practice for the sounds it finds.
Is it the same as an accent detector or an accent test?+
Not quite. Many people search for an “accent detector” when they want exactly this: a guess of which accent they have. Our English accent test answers a different question, how close each of your sounds is to a standard American reference, and our AI accent detector names the sounds that give your accent away. Neither of those two guesses which accent you have.
The guesser is a beta: an Whisper-based AI model with a classifier trained on public voice datasets and recordings from TonePerfect learners. It is for curiosity and practice only, not for decisions about anyone.
Work on the sounds behind your accent
TonePerfect has English lessons and daily speaking practice with a score for every sound, on iPhone, Android and the web. Free to start.