Merge pull request #373 from CNChTu/4.1-Fork

Debug

README.md

@@ -519,6 +519,8 @@ Note: For Hubert Onnx models, please use the models provided by MoeSS. Currently
 |[2105.02446v3](https://arxiv.org/abs/2105.02446v3) | Shallow Diffusion (PostProcessing)| DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism | [CNChTu/Diffusion-SVC](https://github.com/CNChTu/Diffusion-SVC) |
 |[K-means](https://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=01D65490BADCC216F350D06F84D721AD?doi=10.1.1.308.8619&rep=rep1&type=pdf) | Feature K-means Clustering (PreProcessing)| Some methods for classification and analysis of multivariate observations | This repo |
 | | Feature TopK Retrieval (PreProcessing)| Retrieval based Voice Conversion | [RVC-Project/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |
+| | whisper ppg| whisper ppg | [PlayVoice/whisper_ppg](https://github.com/PlayVoice/whisper_ppg) |
+| | bigvgan| bigvgan | [PlayVoice/so-vits-svc-5.0](https://github.com/PlayVoice/so-vits-svc-5.0/tree/bigvgan-mix-v2/vits_decoder/alias) |
 
 
 ## ☀️ Previous contributors

diffusion/solver.py

@@ -101,6 +101,7 @@ def train(args, initial_global_step, model, optimizer, scheduler, vocoder, loade
 
     # run
     num_batches = len(loader_train)
+    start_epoch = initial_global_step // num_batches
     model.train()
     saver.log_info('======= start training =======')
     scaler = GradScaler()
@@ -113,7 +114,7 @@ def train(args, initial_global_step, model, optimizer, scheduler, vocoder, loade
     else:
         raise ValueError(' [x] Unknown amp_dtype: ' + args.train.amp_dtype)
     saver.log_info("epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step")
-    for epoch in range(args.train.epochs):
+    for epoch in range(start_epoch, args.train.epochs):
         for batch_idx, data in enumerate(loader_train):
             saver.global_step_increment()
             optimizer.zero_grad()

diffusion/unit2mel.py

@@ -13,7 +13,7 @@
 class DotDict(dict):
     def __getattr__(*args):         
         val = dict.get(*args)         
-        return DotDict(val) if type(val) is dict else val   
+        return DotDict(val) if type(val) is dict else val     # noqa: E721
 
     __setattr__ = dict.__setitem__    
     __delattr__ = dict.__delitem__