Lisha

girls:

2.4k births since 1954

#3546 (38th percentile)

overall:

2.4k births since 1954

#5438 (30th percentile)

Popularity Trends

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

1954 2023 19542023

Key Statistics

Total Births
2,382
Peak Births
275
Peak Year
1960
First Recorded
1954
Peak Percentile
32.6%
Current Percentile
0.2%
Peak Rank
#520
Current Rank
#945
Female statistics

How to Pronounce Lisha

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

Our model is 59.5% confident that Lisha is pronounced as LIH-shuh. The next most likely pronunciation is LEE-shuh, at 40.5% confidence.

2
59.5%
2
40.5%
LIH-shuh (2 syllables)
59.5% confidence
L IH1 SH AH0

Possible Additional Pronunciations

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

LAI-shuh (2 syllables)
7 names 4.7k births
L AY1 SH AH0
LEE-shee-uh (3 syllables)
4 names 864 births
L IY1 SH 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 L IH1 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.