Aissa

girls:

651 births since 1961

#5065 (11th percentile)

overall:

651 births since 1961

#7088 (8th percentile)

Popularity Trends

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

1961 2023 19612023

Key Statistics

Total Births
651
Peak Births
58
Peak Year
1992
First Recorded
1961
Peak Percentile
6.2%
Current Percentile
0.4%
Peak Rank
#738
Current Rank
#943
Female statistics

How to Pronounce Aissa

Our model has identified 5 different pronunciations for the name Aissa. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 62.5% confident that Aissa is pronounced as AI-suh. The next most likely pronunciation is AY-suh, at 12.5% confidence.

2
62.5%
2
12.5%
2
10.0%
2
7.5%
uh-EE-suh (3 syllables)
7.5% confidence
AH0 IY1 S AH0

Possible Additional Pronunciations

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

AI-sah (2 syllables)
2 names 6.8k births
AY1 S AA0

Names with this pronunciation:

ai-SAI-uh (3 syllables)
5 names 732 births
AY0 S AY1 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 AY1 S 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.