automatic

NURC-SP_ENTOA_TTS.py

@@ -8,9 +8,13 @@ _PROMPTS_PROSODIC_URLS = {
     "train": "prosodic/train.csv",
 }
 
+_PROMPTS_AUDIO_CORPUS_URLS = {
+    "dev": "audioCorpus/validation.csv",
+    "train": "audioCorpus/train.csv",
+}
+
 _PROMPTS_AUTOMATIC_URLS = {
-    "dev": "automatic/validation.csv",
-    "train": "automatic/train.csv",
+    "train": "automatic/nurc_cm_automatic_all_segments.csv",
 }
 
 _ARCHIVES_PROSODIC = {
@@ -18,9 +22,13 @@ _ARCHIVES_PROSODIC = {
     "train": "prosodic/audios.tar.gz",
 }
 
+_ARCHIVES_AUDIO_CORPUS = {
+    "dev": "audioCorpus/audios.tar.gz",
+    "train": "audioCorpus/audios.tar.gz",
+}
+
 _ARCHIVES_AUTOMATIC = {
-    "dev": "automatic/audios.tar.gz",
-    "train": "automatic/audios.tar.gz",
+    "train": "automatic/nurc_cm_automatic_segmented_audios.zip",
 }
 
 _PATH_TO_CLIPS = {
@@ -28,15 +36,18 @@ _PATH_TO_CLIPS = {
     "train": "",
 }
 
+
 class NurcSPConfig(BuilderConfig):
     def __init__(self, prompts_type, **kwargs):
         super().__init__(**kwargs)
         self.prompts_type = prompts_type
 
+
 class NurcSPDataset(GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        NurcSPConfig(name="automatic", description="Automatic audio prompts", prompts_type="automatic"),
+        NurcSPConfig(name="audioCorpus", description="Audio Corpus audio prompts", prompts_type="audioCorpus"),
         NurcSPConfig(name="prosodic", description="Prosodic audio prompts", prompts_type="prosodic"),
+        NurcSPConfig(name="automatic", description="Automatic audio prompts", prompts_type="automatic"),
     ]
 
     def _info(self):
@@ -63,7 +74,7 @@ class NurcSPDataset(GeneratorBasedBuilder):
                     }
                 )
             )
-        elif self.config.name == "automatic":
+        elif self.config.name == "audioCorpus":
             return DatasetInfo(
                 features=datasets.Features(
                     {
@@ -86,11 +97,30 @@ class NurcSPDataset(GeneratorBasedBuilder):
                     }
                 )
             )
+        elif self.config.name == "automatic":
+            return DatasetInfo(
+                features=datasets.Features(
+                    {
+                        "path": datasets.Value("string"),
+                        "name": datasets.Value("string"),
+                        "speaker": datasets.Value("string"),
+                        "start_time": datasets.Value("string"),
+                        "end_time": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                        "duration": datasets.Value("string"),
+                        "audio": datasets.Audio(sampling_rate=16_000, mono=True),
+                    }
+                )
+            )
+
 
     def _split_generators(self, dl_manager):
         if self.config.prompts_type == "prosodic":
             prompts_urls = _PROMPTS_PROSODIC_URLS
             archive_link = _ARCHIVES_PROSODIC
+        elif self.config.prompts_type == "audioCorpus":
+            prompts_urls = _PROMPTS_AUDIO_CORPUS_URLS
+            archive_link = _ARCHIVES_AUDIO_CORPUS
         elif self.config.prompts_type == "automatic":
             prompts_urls = _PROMPTS_AUTOMATIC_URLS
             archive_link = _ARCHIVES_AUTOMATIC
@@ -100,26 +130,39 @@ class NurcSPDataset(GeneratorBasedBuilder):
         prompts_path = dl_manager.download(prompts_urls)
         archive = dl_manager.download(archive_link)
 
-        return [
-            SplitGenerator(
-                name=Split.VALIDATION,
-                gen_kwargs={
-                    "prompts_path": prompts_path["dev"],
-                    "path_to_clips": _PATH_TO_CLIPS["dev"],
-                    "audio_files": dl_manager.iter_archive(archive["dev"]),
-                    "split_name": "validation"
-                }
-            ),
-            SplitGenerator(
-                name=Split.TRAIN,
-                gen_kwargs={
-                    "prompts_path": prompts_path["train"],
-                    "path_to_clips": _PATH_TO_CLIPS["train"],
-                    "audio_files": dl_manager.iter_archive(archive["train"]),
-                    "split_name": "train"
-                }
-            ),
-        ]
+        if self.config.prompts_type != "automatic":
+            return [
+                SplitGenerator(
+                    name=Split.VALIDATION,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["dev"],
+                        "path_to_clips": _PATH_TO_CLIPS["dev"],
+                        "audio_files": dl_manager.iter_archive(archive["dev"]),
+                        "split_name": "validation"
+                    }
+                ),
+                SplitGenerator(
+                    name=Split.TRAIN,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["train"],
+                        "path_to_clips": _PATH_TO_CLIPS["train"],
+                        "audio_files": dl_manager.iter_archive(archive["train"]),
+                        "split_name": "train"
+                    }
+                ),
+            ]
+        else:
+            return [
+                SplitGenerator(
+                    name=Split.TRAIN,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["train"],
+                        "path_to_clips": _PATH_TO_CLIPS["train"],
+                        "audio_files": dl_manager.iter_archive(archive["train"]),
+                        "split_name": "train"
+                    }
+                ),
+            ]
 
     def _generate_examples(self, prompts_path, path_to_clips, audio_files, split_name):
         examples = {}
@@ -148,7 +191,7 @@ class NurcSPDataset(GeneratorBasedBuilder):
                         "theme": row['theme'],
                     }
                     csv_paths.append(file_path)
-            elif self.config.prompts_type == "automatic":
+            elif self.config.prompts_type == "audioCorpus":
                 for row in csv_reader:
                     file_path = Path(row['file_path']).as_posix()
                     examples[file_path] = {
@@ -169,6 +212,19 @@ class NurcSPDataset(GeneratorBasedBuilder):
                         "speaker_id": row['speaker_id'],
                     }
                     csv_paths.append(file_path)
+            elif self.config.prompts_type == "automatic":
+                for row in csv_reader:
+                    file_path = Path(row['path']).as_posix()
+                    examples[file_path] = {
+                        "path": row['path'],
+                        "name": row['name'],
+                        "speaker": row['speaker'],
+                        "start_time": row['start_time'],
+                        "end_time": row['end_time'],
+                        "text": row['text'],
+                        "duration": row['duration'],
+                    }
+                    csv_paths.append(file_path)
 
         id_ = 0
         for path, f in audio_files:

automatic/nurc_cm_automatic_segmented_audios.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4564f316a1ac299a8fcc84f2ddd8063c2b8b996f87159f956e1007add1a33a0
+size 1551683455