Fix imports

docs/source/faq.md

@@ -7,7 +7,7 @@ We tried to collect common issues and questions we receive about 🐸TTS. It is
 - If you feel like it's a bug to be fixed, then prefer Github issues with the same level of scrutiny.
 
 ## What are the requirements of a good 🐸TTS dataset?
-* https://github.com/coqui-ai/TTS/wiki/What-makes-a-good-TTS-dataset
+* {ref}`See this page <what_makes_a_good_dataset>`
 
 ## How should I choose the right model?
 - First, train Tacotron. It is smaller and faster to experiment with. If it performs poorly, try Tacotron2.

docs/source/training_a_model.md

@@ -54,7 +54,7 @@
 
  4. Run the training.
 
-    You need to call the python training script.
+    You need to run the training script.
 
     ```bash
     $ CUDA_VISIBLE_DEVICES="0" python train_glowtts.py
@@ -63,7 +63,7 @@
     Notice that you set the GPU you want to use on your system by setting `CUDA_VISIBLE_DEVICES` environment variable.
     To see available GPUs on your system, you can use `nvidia-smi` command on the terminal.
 
-    If you like to run a multi-gpu training
+    If you like to run a multi-gpu training using DDP back-end,
 
     ```bash
     $ CUDA_VISIBLE_DEVICES="0, 1, 2" python TTS/bin/distribute.py --script <path_to_your_script>/train_glowtts.py

docs/source/what_makes_a_good_dataset.md

@@ -1,3 +1,4 @@
+(what_makes_a_good_dataset)=
 # What makes a good TTS dataset
 
 ## What Makes a Good Dataset