21 spellings, 3 pronunciations
Our model has identified 21 different spellings of Gwendolyn that are grouped together because they share at least one of 3 different pronunciations. If something seems off, you can help us improve our grouping algorithm by rating whether pronunciations are correct or incorrect for a given spelling.
The audio files on this page are organized by pronunciation. Click the play button next to each spelling to hear that pronunciation spoken aloud for a particular spelling.
Our model is 81.4% confident that Gwendolyn is pronounced as GWEHN-duh-lihn. There are 20 other spelling variants that share this pronunciation.
The next most likely pronunciation for Gwendolyn is GWEHND-lihn, at 9.3% confidence. There are 4 other spelling variants that share this pronunciation.
These are pronunciations that other similar names use, but which are not currently associated with Gwendolyn. If you think any of these are valid pronunciations for Gwendolyn, 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 G W EH1 N D AH0 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. It's really hard to get a text-to-speech model to say names the way you want it to. And describing how vowels are emphasized in English is a bit of a mess.