Tessia

girls:

371 births since 1964

#5345 (6th percentile)

overall:

371 births since 1964

#7368 (5th percentile)

Popularity Trends

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

1964 2010 19642010

Key Statistics

Total Births
371
Peak Births
17
Peak Year
1991
First Recorded
1964
Peak Percentile
1.4%
Current Percentile
0.1%
Peak Rank
#737
Current Rank
#943
Female statistics

How to Pronounce Tessia

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

Our model is 81.0% confident that Tessia is pronounced as TEH-see-uh. The next most likely pronunciation is TEH-shuh, at 19.0% confidence.

2
19.0%
TEH-see-uh (3 syllables)
81.0% confidence
T EH1 S IY0 AH0
TEH-shuh (2 syllables)
19.0% confidence
T EH1 SH AH0

Possible Additional Pronunciations

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

TEH-suh (2 syllables)
3 names 55.5k births
T EH1 S AH0
TAY-see-uh (3 syllables)
3 names 676 births
T EY1 S IY0 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 T EH1 S IY0 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.