Serina

girls:

5.8k births since 1918

#2187 (62nd percentile)

overall:

5.8k births since 1918

#3572 (54th percentile)

Popularity Trends

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

1918 2023 19182023

Key Statistics

Total Births
5,778
Peak Births
214
Peak Year
1998
First Recorded
1918
Peak Percentile
23.8%
Current Percentile
3.5%
Peak Rank
#588
Current Rank
#914
Female statistics

How to Pronounce Serina

Our model has identified 3 different pronunciations for the name Serina. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 75.0% confident that Serina is pronounced as ser-EE-nuh. The next most likely pronunciation is suh-REE-nuh, at 15.0% confidence.

seh-REE-nuh (3 syllables)
10.0% confidence
S EH0 R IY1 N AH0

Possible Additional Pronunciations

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

sih-REE-nuh (3 syllables)
10 names 5.2k births
S IH0 R IY1 N AH0
soo-REE-nuh (3 syllables)
3 names 564 births
S UH0 R IY1 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 S ER0 IY1 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.