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The Science Behind an Authentic Accent

Rosetta Stone uses patented speech-recognition technology to help you talk like a local. See how it works.

It’s one of the hardest things about learning a new language: the authentic hola, the flawless bonjour, the refined konichiwa. Trying to speak like a native is intimidating, stressful, and a little awkward at first.

 

But it’s also rewarding. After perfecting an accent, a new language will open endless doors. You’re no longer a foreigner, but someone who speaks like a friend.

 

Meet TruAccent®: Voice Recognition Designed for Language Learning

One of the primary ways we learn a language is through our ears and mouths. By verbally processing a word and enunciating it, your brain creates new, lasting connections. Drawing from 25 years of experience, the linguists and product developers at Rosetta Stone found that no program on the market sufficiently addressed accents.

An Engine Built for People Learning Languages, Not Native Speakers

Traditional voice recognition technology listens to people as they speak naturally. Drawing from family background, region, nationality, and other social factors, accents are complicated—making them hard to replicate as a learner. Understanding this, the Rosetta Stone team created TruAccent®—available on desktop, tablet, and mobile. This patented engine gives you appropriate room for error without compromising correctness, in one of these 25 languages.

Customize TruAccent® from Lesson 1

The team of pedagogy specialists and linguists at Rosetta Stone knows that acquiring a new language is a personal experience for everyone.

Crafted to be a learning engine, TruAccent® can be adjusted for your needs. Want to challenge yourself with difficult French pronunciations? Or maybe slow things down for elementary Arabic? Just change up the sensitivity of TruAccent® with a tap of a button:

Every lesson, every step. Speaking authentically is at the heart of the Rosetta Stone method. If you’re interested in testing it out for yourself, head on over to this demo.

 

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