Taylynn

girls:

1.3k births since 1993

#4415 (23rd percentile)

overall:

1.3k births since 1993

#6434 (17th percentile)

Popularity Trends

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

1993 2023 19932023

Key Statistics

Total Births
1,308
Peak Births
91
Peak Year
2012
First Recorded
1993
Peak Percentile
9.2%
Current Percentile
5.8%
Peak Rank
#845
Current Rank
#892
Female statistics

How to Pronounce Taylynn

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

Our model is 71.4% confident that Taylynn is pronounced as TAY-lihn. The next most likely pronunciation is TAY-leen, at 20.0% confidence.

2
71.4%
2
20.0%
TAY-LIHN (2 syllables)
8.6% confidence
T EY1 L IH1 N

Possible Additional Pronunciations

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

TA-luhn (2 syllables)
6 names 20.3k births
T AE1 L AH0 N
TAY-luhn (2 syllables)
14 names 15.8k births
T EY1 L 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 T EY1 L IH0 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.