Tieisha

girls:

90 births since 1977

#5626 (2nd percentile)

overall:

90 births since 1977

#7649 (1st percentile)

Popularity Trends

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

1977 1997 19771997

Key Statistics

Total Births
90
Peak Births
10
Peak Year
1985
First Recorded
1977
Peak Percentile
0.6%
Current Percentile
0.0%
Peak Rank
#765
Current Rank
#863
Female statistics

How to Pronounce Tieisha

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

Our model is 47.2% confident that Tieisha is pronounced as tee-EE-shuh. The next most likely pronunciation is tai-EE-shuh, at 47.2% confidence.

tee-EE-shuh (3 syllables)
47.2% confidence
T IY0 IY1 SH AH0
TEE-ee-shuh (3 syllables)
5.6% confidence
T IY1 IY0 SH AH0

Possible Additional Pronunciations

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

TAI-EE-shuh (3 syllables)
6 names 3.4k births
T AY1 IY1 SH 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 IY0 IY1 SH 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.