girls:
12 births since 2016
#5704 (0th percentile)
overall:
12 births since 2016
#7727 (0th percentile)
This chart shows the total number of births per million babies in each year for the name "Mariavalentina".
These names exclude other spelling variations of this name. View all variations of Mariavalentina.
These similar-looking names have spellings that are closest to the spelling of "Mariavalentina", in the sense that there are the fewest number of letter differences between the two spellings. These names exclude other spelling variations of this name. View all variations of Mariavalentina.
Our model has identified 25 different pronunciations for the name Mariavalentina. Click the play button under each pronunciation to hear it spoken aloud.
Our model is 11.4% confident that Mariavalentina is pronounced as muh-REE-uh-va-luhn-TEE-nuh, which has 7 syllables. The next most likely pronunciation is mah-REE-uh-va-luhn-TEE-nuh, at 8.6% confidence, with 7 syllables.
These are pronunciations that other similar names use, but which are not currently associated with Mariavalentina. If you think any of these are valid pronunciations for Mariavalentina, please vote using the thumbs up button.
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 M AH0 R IY1 AH0 V AE2 L AH0 N T IY1 N 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.