Aasher

boys:

5 births since 2019

#4581 (0th percentile)

overall:

5 births since 2019

#7734 (0th percentile)

Popularity Trends

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

2018 2020 20182020

Key Statistics

Total Births
5
Peak Births
5
Peak Year
2019
First Recorded
2019
Peak Percentile
0.0%
Current Percentile
Peak Rank
#917
Current Rank
Male statistics

How to Pronounce Aasher

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

Our model is 51.4% confident that Aasher is pronounced as AH-sher. The next most likely pronunciation is A-sher, at 27.0% confidence.

2
51.4%
2
27.0%
2
21.6%
AH-sher (2 syllables)
51.4% confidence
AA1 SH ER0
A-sher (2 syllables)
27.0% confidence
AE1 SH ER0
AI-sher (2 syllables)
21.6% confidence
AY1 SH ER0

Possible Additional Pronunciations

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

A-shuhr (2 syllables)
1 name 516 births
AE1 SH AH0 R

Names with this pronunciation:

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 AA1 SH ER0) 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.