Ailyne

girls:

64 births since 2000

#5652 (1st percentile)

overall:

64 births since 2000

#7675 (1st percentile)

Popularity Trends

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

2000 2017 20002017

Key Statistics

Total Births
64
Peak Births
10
Peak Year
2000
First Recorded
2000
Peak Percentile
0.6%
Current Percentile
0.0%
Peak Rank
#892
Current Rank
#949
Female statistics

How to Pronounce Ailyne

Our model has identified 5 different pronunciations for the name Ailyne. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 37.8% confident that Ailyne is pronounced as AY-leen. The next most likely pronunciation is ay-LEEN, at 21.6% confidence.

2
37.8%
2
21.6%
2
16.2%
2
13.5%
2
10.8%
ay-LEEN (2 syllables)
21.6% confidence
EY0 L IY1 N
AY-lain (2 syllables)
16.2% confidence
EY1 L AY0 N

Possible Additional Pronunciations

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

eh-LEE-uhn (3 syllables)
11 names 12.9k births
EH0 L IY1 AH0 N

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 EY1 L IY0 N) 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.