Does speech recognition work with different accents?

People can speak clearly and still sound different because of regional or first-language influence. The useful goal for most learners is intelligibility: listeners can understand the message without unusual effort.

A recognition model reflects the voices and language varieties it was built and evaluated with. One failed transcript therefore does not prove that your speech would be unclear to people.

Confirm the selected language or regional variety, reduce background noise, keep a steady microphone distance, and speak the full phrase rather than one ambiguous word.

Repeat the phrase naturally two or three times. If the result changes each time, the signal or model may be unstable. If the same sound is misheard across several words and contexts, it may be a useful practice target.

Track repeated patterns over time and compare recordings. For an important distinction, cross-check with a teacher or proficient listener rather than chasing a perfect automated score.

AI feedback works best as a fast practice loop, not as the only authority on whether an accent is acceptable.