Saivion

boys:

92 births since 1999

#4494 (2nd percentile)

overall:

92 births since 1999

#7647 (1st percentile)

Popularity Trends

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

1999 2022 19992022

Key Statistics

Total Births
92
Peak Births
11
Peak Year
2002
First Recorded
1999
Peak Percentile
0.7%
Current Percentile
0.0%
Peak Rank
#805
Current Rank
#924
Male statistics

How to Pronounce Saivion

Our model has identified 2 different pronunciations for the name Saivion. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 78.4% confident that Saivion is pronounced as SAY-vee-uhn. The next most likely pronunciation is SAI-vee-uhn, at 21.6% confidence.

SAI-vee-uhn (3 syllables)
21.6% confidence
S AY1 V IY0 AH0 N

Possible Additional Pronunciations

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

suh-VEE-uhn (3 syllables)
10 names 5.7k births
S AH0 V IY1 AH0 N
SA-vee-uhn (3 syllables)
9 names 5.7k births
S AE1 V IY0 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 S EY1 V IY0 AH0 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.