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@@ -13,9 +13,9 @@ The ABX metric evaluates whether a representation X of a speech unit (e.g., the
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  This benchmark focuses on the more challenging ABX across speaker task, where the X example is spoken by a different speaker than the ones in pair (A, B), testing speaker-invariant phonetic discrimination.
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  This benchmark focuses on the more challenging ABX across speaker task, where the X example is spoken by a different speaker than the ones in pair (A, B), testing speaker-invariant phonetic discrimination.
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- About the Dataset.
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- -----------------
 
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  The **[Accented English Speech Recognition Challenge](https://arxiv.org/abs/2102.10233)** dataset includes recordings from ten different regional accents:
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  American, British, Canadian, Chinese, Indian, Japanese, Korean, Portuguese, Spanish, Russian.
 
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  This benchmark focuses on the more challenging ABX across speaker task, where the X example is spoken by a different speaker than the ones in pair (A, B), testing speaker-invariant phonetic discrimination.
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  This benchmark focuses on the more challenging ABX across speaker task, where the X example is spoken by a different speaker than the ones in pair (A, B), testing speaker-invariant phonetic discrimination.
 
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+ About the Dataset.
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+ -----------------------
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  The **[Accented English Speech Recognition Challenge](https://arxiv.org/abs/2102.10233)** dataset includes recordings from ten different regional accents:
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  American, British, Canadian, Chinese, Indian, Japanese, Korean, Portuguese, Spanish, Russian.