ONNX
English
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Update README.md

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@@ -21,12 +21,18 @@ These tools did not effect output license.
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  - onnxruntime - MIT
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  ### Converted model Owner(me)
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  I release my output under MIT License.If you want your license ,convert it by yourself
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- ## File Type
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  All models are simplify(If you need original,export by yourself)
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- - vctk_univ_simplify - Vocoder:hifigan_univ_v1(some english speaker avoid robotic) - Quantized Github page friendly small size ,but 3-5 times slow
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- - vctk_univ_simplify_q8 - Vocoder:hifigan_univ_v1(some english speaker avoid robotic)
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- - vctk_t2_simplify - Vocoder:hifigan_T2_v1(Good for English)
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- - vctk_t2_simplify_q8 - Vocoder:hifigan_T2_v1(Good for English) - Quantized Github page friendly small size ,but 3-5 times slow
 
 
 
 
 
 
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  ## How to Convert
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  ### Export Model
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  see Matcha-TTS [ONNX export](https://github.com/shivammehta25/Matcha-TTS)
 
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  - onnxruntime - MIT
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  ### Converted model Owner(me)
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  I release my output under MIT License.If you want your license ,convert it by yourself
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+ ## Onnx File Type
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  All models are simplify(If you need original,export by yourself)
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+
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+ Vocoder:hifigan_univ_v1(some english speaker avoid robotic)
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+
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+ - vctk_univ_simplify.onnx
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+ - vctk_univ_simplify_q8.onnx - Quantized Github page friendly small size ,but 3-5 times slow
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+
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+ Vocoder:hifigan_T2_v1(Good for English)
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+
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+ - vctk_t2_simplify.onnx
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+ - vctk_t2_simplify_q8.onnx - Quantized Github page friendly small size ,but 3-5 times slow
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  ## How to Convert
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  ### Export Model
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  see Matcha-TTS [ONNX export](https://github.com/shivammehta25/Matcha-TTS)