bjelkenhed commited on
Commit
78b142c
1 Parent(s): b43e032

speaker_id, sex and accent

Browse files
Files changed (1) hide show
  1. babelbox_voice.py +42 -8
babelbox_voice.py CHANGED
@@ -69,7 +69,10 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
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  {
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  "path": datasets.Value("string"),
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  "audio": datasets.features.Audio(sampling_rate=16_000),
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- "sentence": datasets.Value("string")
 
 
 
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  }
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  )
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  else:
@@ -77,7 +80,10 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
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  {
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  "path": datasets.Value("string"),
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  "audio": datasets.features.Audio(sampling_rate=16_000),
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- "sentence": datasets.Value("string")
 
 
 
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  }
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  )
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@@ -94,14 +100,28 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
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  metadata_path = dl_manager.download(metadata_url)
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  local_extracted_metadata_path = dl_manager.extract(metadata_path) if not dl_manager.is_streaming else None
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  metadata_archive = dl_manager.iter_archive(metadata_path)
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  metadata = {}
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  for path, file in metadata_archive:
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  reader = csv.DictReader(codecs.iterdecode(file, 'utf-8'))
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  for row in tqdm(reader, desc="Reading metadata..."):
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  filename = row['filename_channel_1']
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- sentence = row['text']
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- metadata[filename] = sentence
 
 
 
 
 
 
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  return metadata
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@@ -128,14 +148,28 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
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  def _generate_examples(self, local_extracted_archive_paths, archives, metadata):
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  sampling_rate = 16000
 
 
 
 
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  for i, audio_archive in enumerate(archives):
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  for path, file in audio_archive:
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  if local_extracted_archive_paths == False:
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  path = os.path.join(local_extracted_archive_paths[i], path)
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- result = dict()
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- result["path"] = path
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- result["audio"] = {"path": path, "bytes": file.read()}
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- result["sentence"] = metadata[path]
 
 
 
 
 
 
 
 
 
 
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  yield path, result
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  {
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  "path": datasets.Value("string"),
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  "audio": datasets.features.Audio(sampling_rate=16_000),
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+ "sentence": datasets.Value("string"),
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+ "speaker_id": datasets.Value("string"),
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+ "sex": datasets.Value("string"),
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+ "accent": datasets.Value("string"),
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  }
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  )
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  else:
 
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  {
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  "path": datasets.Value("string"),
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  "audio": datasets.features.Audio(sampling_rate=16_000),
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+ "sentence": datasets.Value("string"),
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+ "speaker_id": datasets.Value("string"),
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+ "sex": datasets.Value("string"),
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+ "accent": datasets.Value("string"),
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  }
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  )
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  metadata_path = dl_manager.download(metadata_url)
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  local_extracted_metadata_path = dl_manager.extract(metadata_path) if not dl_manager.is_streaming else None
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+
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+ def clean_sentence(sentence):
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+ return (sentence
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+ .replace("\\Komma", "",)
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+ .replace("\\Punkt", "")
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+ .replace("\\Utropstecken", "")
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+ .replace("\\Frågetecken", ""))
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+
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  metadata_archive = dl_manager.iter_archive(metadata_path)
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  metadata = {}
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  for path, file in metadata_archive:
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  reader = csv.DictReader(codecs.iterdecode(file, 'utf-8'))
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  for row in tqdm(reader, desc="Reading metadata..."):
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  filename = row['filename_channel_1']
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+ metadata_item = {
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+ 'sentence': clean_sentence(row['text']),
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+ 'speaker_id': row['Speaker_ID'],
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+ 'sex': row['Sex'],
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+ 'accent': row['Region_of_Youth']
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+ }
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+
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+ metadata[filename] = metadata_item
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126
  return metadata
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148
  def _generate_examples(self, local_extracted_archive_paths, archives, metadata):
149
 
150
  sampling_rate = 16000
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+
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+ def filter_sentence(sentence):
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+ if "... tyst under denna inspelning ..." in sentence: return False
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+ return True
155
 
156
  for i, audio_archive in enumerate(archives):
157
  for path, file in audio_archive:
158
  if local_extracted_archive_paths == False:
159
  path = os.path.join(local_extracted_archive_paths[i], path)
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+
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+ metadata_item = metadata[path]
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+
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+ if filter_sentence(metadata_item['sentence']) == False: continue
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+
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+ result = {
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+ 'path' : path,
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+ 'audio' : {"path": path, "bytes": file.read() },
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+ 'sentence' : metadata_item['sentence'],
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+ 'speaker_id' : metadata_item['speaker_id'],
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+ 'sex' : metadata_item['sex'],
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+ 'accent' : metadata_item['accent']
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+ }
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+
174
  yield path, result
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