| TITAN | |
| A robust, general-purpose model that gives clean results and handles accents and noise well. Requires fewer training epochs. | |
| Sample Rates: 32k, 40k, 48k | |
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| Ov2Super | |
| Works well for small, clean English datasets. Trained on bright, emotional voices. Requires fewer training epochs. | |
| Sample Rates: 32k, 40k | |
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| RIN_E3 | |
| Trained from scratch on a large English dataset. Best used with high-quality datasets due to its sensitivity to noise. | |
| Sample Rate: 40k | |
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| SnowieV3.1-X-RinE3-40K | |
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| SnowieV3.1 | |
| Trained on Russian and Japanese data. Helps to improve pronunciation in other languages. | |
| Sample Rates: 32k, 40k, 48k | |
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| Snowie_RuPretrain | |