d-vector handling (#1945)

* Update BaseDatasetConfig

- Add dataset_name
- Chane name to formatter_name

* Update compute_embedding

- Allow entering dataset by args
- Use released model by default
- Use the new key format

* Update loading

* Update recipes

* Update other dep code

* Update tests

* Fixup

* Load multiple embedding files

* Fix argument names in dep code

* Update docs

* Fix argument name

* Fix linter

tests/data_tests/test_loader.py

@@ -24,7 +24,7 @@ c.data_path = os.path.join(get_tests_data_path(), "ljspeech/")
 ok_ljspeech = os.path.exists(c.data_path)
 
 dataset_config = BaseDatasetConfig(
-    name="ljspeech_test",  # ljspeech_test to multi-speaker
+    formatter="ljspeech_test",  # ljspeech_test to multi-speaker
     meta_file_train="metadata.csv",
     meta_file_val=None,
     path=c.data_path,

tests/data_tests/test_samplers.py

@@ -15,7 +15,7 @@ from TTS.utils.samplers import BucketBatchSampler, PerfectBatchSampler
 torch.manual_seed(0)
 
 dataset_config_en = BaseDatasetConfig(
-    name="ljspeech",
+    formatter="ljspeech",
     meta_file_train="metadata.csv",
     meta_file_val="metadata.csv",
     path="tests/data/ljspeech",
@@ -23,7 +23,7 @@ dataset_config_en = BaseDatasetConfig(
 )
 
 dataset_config_pt = BaseDatasetConfig(
-    name="ljspeech",
+    formatter="ljspeech",
     meta_file_train="metadata.csv",
     meta_file_val="metadata.csv",
     path="tests/data/ljspeech",