small updates

TTS/bin/train_wavernn_vocoder.py

@@ -95,7 +95,6 @@ def train(model, optimizer, criterion, scheduler, ap, global_step, epoch):
     end_time = time.time()
     c_logger.print_train_start()
     # train loop
-    print(" > Training", flush=True)
     for num_iter, data in enumerate(data_loader):
         start_time = time.time()
         x_input, mels, y_coarse = format_data(data)

TTS/vocoder/configs/wavernn_config.json

@@ -41,7 +41,7 @@
     // },
 
 // MODEL MODE
-    "mode": 10, // mold [string], gauss [string], bits [int]
+    "mode": "mold", // mold [string], gauss [string], bits [int]
     "mulaw": true, // apply mulaw if mode is bits
 
 // MODEL PARAMETERS
@@ -58,7 +58,7 @@
 
 // DATASET
     //"use_gta": true,								// use computed gta features from the tts model
-    "data_path": "/media/alexander/LinuxFS/SpeechData/GothicSpeech/NPC_Speech", // path containing training wav files
+    "data_path": "/home/erogol/Data/LJSpeech-1.1/wavs/", // path containing training wav files
     "feature_path": null, // path containing computed features from wav files if null compute them
     "seq_len": 1280, // has to be devideable by hop_length
     "padding": 2, // pad the input for resnet to see wider input length
@@ -93,5 +93,5 @@
     "eval_split_size": 50, // number of samples for testing
 
 // PATHS
-    "output_path": "output/training/path"
+    "output_path": "/home/erogol/Models/LJSpeech/"
 }