Aryona

girls:

162 births since 1997

#5554 (3rd percentile)

overall:

162 births since 1997

#7577 (2nd percentile)

Popularity Trends

This chart shows the total number of births per million babies in each year for the name "Aryona".

1997 2015 19972015

Key Statistics

Total Births
162
Peak Births
20
Peak Year
2007
First Recorded
1997
Peak Percentile
1.5%
Current Percentile
0.1%
Peak Rank
#861
Current Rank
#959
Female statistics

How to Pronounce Aryona

Our model has identified 7 different pronunciations for the name Aryona. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 38.3% confident that Aryona is pronounced as ah-ree-OH-nuh. The next most likely pronunciation is AH-ree-OH-nuh, at 25.5% confidence.

AH-ree-oh-nuh (4 syllables)
17.0% confidence
AA1 R IY0 OW0 N AH0

Possible Additional Pronunciations

These are pronunciations that other similar names use, but which are not currently associated with Aryona. If you think any of these are valid pronunciations for Aryona, please vote using the thumbs up button.

ah-REE-OH-nuh (4 syllables)
3 names 312 births
AA0 R IY1 OW1 N AH0
a-ree-OH-nuh (4 syllables)
5 names 263 births
AE0 R IY0 OW1 N AH0

About Pronunciation Data

Our confidence scores estimate the likelihood that a particular pronunciation is the most correct for a given name spelling. These scores are derived from pronunciation dictionaries, manual verification, your feedback, and a fine-tuned large language model trained to generate name pronunciations.

For any given spelling, confidence scores across all identified pronunciations sum to 100%. However, these scores don't account for the possibility of valid pronunciations that our model hasn't identified.

The raw pronunciations shown (like AA0 R IY0 OW1 N AH0) use the ARPAbet phoneme system, a standardized way to represent English speech sounds. Each symbol represents a distinct sound in American English. Visit the ARPAbet Wikipedia page to learn more about these phonetic symbols.

Pronunciation audio is generated by an open source text to speech model that has been customized to adhere to pronunciations provided in ARPAbet format, but sometimes pronunciations that differ subtly will sound identical, particularly if the only difference is the level of emphasis on a syllable or a single vowel sound.