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WaveGen

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@@ -53,8 +53,8 @@ weights and BF16 CUDA inference. The original test prompts are used.
 | Model | CER (%) ↓ | SIM ↑ | UTMOS ↑ |
 |---|---:|---:|---:|
-| WaveGen (Pre-trained, 1300k EMA) | 1.7563655831880642 | 0.8059336158603725 | 2.878375892296876 |
-| WaveGen V-Spec (1400k EMA) | 1.653561079226245 | 0.7839516551482796 | 2.7993922620126517 |
 WER is reported for English and CER for Chinese. Error rates are percentages;
 all metrics are macro-averaged over utterances. Values are shown without

 | Model | CER (%) ↓ | SIM ↑ | UTMOS ↑ |
 |---|---:|---:|---:|
+| WaveGen (Pre-trained, 1300k EMA) | 1.75 | 0.805 | 2.87 |
+| WaveGen V-Spec (1400k EMA) | 1.65 | 0.783 | 2.79 |
 WER is reported for English and CER for Chinese. Error rates are percentages;
 all metrics are macro-averaged over utterances. Values are shown without