Tynesha

girls:

1.3k births since 1973

#4407 (23rd percentile)

overall:

1.3k births since 1973

#6426 (17th percentile)

Popularity Trends

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

1973 2012 19732012

Key Statistics

Total Births
1,317
Peak Births
71
Peak Year
1993
First Recorded
1973
Peak Percentile
7.6%
Current Percentile
0.0%
Peak Rank
#733
Current Rank
#937
Female statistics

How to Pronounce Tynesha

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

Our model is 71.0% confident that Tynesha is pronounced as tai-NEE-shuh. The next most likely pronunciation is tai-NEH-shuh, at 19.4% confidence.

tai-NEH-shuh (3 syllables)
19.4% confidence
T AY0 N EH1 SH AH0
TAI-NEE-shuh (3 syllables)
9.7% confidence
T AY1 N IY1 SH AH0

Possible Additional Pronunciations

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

teh-NIH-shuh (3 syllables)
5 names 3.8k births
T EH0 N IH1 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 AY0 N 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.