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@@ -27,8 +27,7 @@ Huge Thanks to [Johnathan Duering](https://github.com/duerig) for his help. I mo
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  There are Three checkpoints so far in this repository:
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  - HiFormer 24khz (trained for roughly 117K~ steps on LibriTTS (360 + 100) and 40 hours of other English datasets.)
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  - HiFormer 44.1khz (trained for roughly 280K~ steps on a Large (more than 1100 hours) private Multilingual dataset, covering Arabic, Persian, Japanese, English, Russian and also Singing voice in Chinese and Japanese with Quranic recitations in Arabic.
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- - HiFTNet 44.1khz (trained for ~100K steps, on a similar dataset to HiFormer 44.1khz, but slightly smaller and no singing voice.) to use this Checkpoint you should head to the [HiFTNet's repository](https://github.com/yl4579/HiFTNet). make sure your mel-preprocessing matches that of [StyleTTS](https://github.com/yl4579/StyleTTS/blob/main/meldataset.py#L60-L68).
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- ## Pre-requisites
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  1. Python >= 3.10
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  2. Clone this repository:
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  ```bash
 
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  There are Three checkpoints so far in this repository:
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  - HiFormer 24khz (trained for roughly 117K~ steps on LibriTTS (360 + 100) and 40 hours of other English datasets.)
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  - HiFormer 44.1khz (trained for roughly 280K~ steps on a Large (more than 1100 hours) private Multilingual dataset, covering Arabic, Persian, Japanese, English, Russian and also Singing voice in Chinese and Japanese with Quranic recitations in Arabic.
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+ - HiFTNet 44.1khz (trained for ~100K steps, on a similar dataset to HiFormer 44.1khz, but slightly smaller and no singing voice).
 
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  1. Python >= 3.10
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  2. Clone this repository:
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  ```bash