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README.md
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@@ -43,7 +43,7 @@ Get ready to experience speech recognition that's faster than a caffeinated chee
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* Dutch
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* Korean
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We believe this selection provides a strong foundation for a wide range of applications. (Our apologies to our Khmer-speaking friends; we'll get you in the next version! Blame it on old age and forgetfulness. 👴👵)
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* **Accuracy You Can Trust:** We're still finalizing the benchmark results (coming soon!), but preliminary tests show an impressive WER (Word Error Rate) around 12% across the major languages, including challenging Vietnamese dialects. This thing understands you, even if you've got a *really* strong regional accent.
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* **Trained with Care:** The model was trained on a substantial dataset (300,000 samples, roughly 1000 hours), covering real-world audio conditions. Noise? No problem!
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* Dutch
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| 44 |
* Korean
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| 45 |
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| 46 |
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We believe this selection provides a strong foundation for a wide range of applications. (Our apologies to our Khmer-speaking and Thailand-speaking friends; we'll get you in the next version! Blame it on old age and forgetfulness. 👴👵)
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| 47 |
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| 48 |
* **Accuracy You Can Trust:** We're still finalizing the benchmark results (coming soon!), but preliminary tests show an impressive WER (Word Error Rate) around 12% across the major languages, including challenging Vietnamese dialects. This thing understands you, even if you've got a *really* strong regional accent.
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| 49 |
* **Trained with Care:** The model was trained on a substantial dataset (300,000 samples, roughly 1000 hours), covering real-world audio conditions. Noise? No problem!
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