Update README.md

README.md

@@ -14,4 +14,25 @@ https://commonvoice.mozilla.org/en/datasets
 I called Corps 1 of audios 42da7f26(head-audio-id)_290(files) EN001
 
 Train with IPA(this folk)
-https://github.com/akjava/Matcha-TTS-Japanese
+https://github.com/akjava/Matcha-TTS-Japanese
+## Files
+### checkpoints
+Matcha-TTS checkpoint - epoch seems big but train with only 290 audios
+### ONNX
+
+onnx simplified 
+```
+from onnxsim import simplify
+import onnx
+
+model = onnx.load("en001_6399_T2.onnx")
+model_simp, check = simplify(model)
+
+onnx.save(model_simp, "en001_6399_T2_simplify.onnx")
+```
+- T2 means Vocoder is hifigan_T2_v1
+- Unif means Voder is hifigan_univ_v1
+
+To use onnx need something,I'll add sample code later
+### Audio
+I cut with VAD tools and denoise with resemble-enhance