RodrigoLimaRFL commited on
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ff55467
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1 Parent(s): bbea063

Update NURC-SP_ENTOA_TTS.py

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  1. NURC-SP_ENTOA_TTS.py +50 -44
NURC-SP_ENTOA_TTS.py CHANGED
@@ -110,67 +110,73 @@ class EntoaDataset(GeneratorBasedBuilder):
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  def _generate_examples(self, prompts_path, path_to_clips, audio_files):
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  examples = {}
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-
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- # Debug print for prompts path
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- print(f"Reading prompts from: {prompts_path}")
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  with open(prompts_path, "r") as f:
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  csv_reader = csv.DictReader(f)
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  for row in csv_reader:
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- # Debug print for row processing
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  print(f"Processing row: {row}")
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-
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  if self.config.name == "prosodic":
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- examples[row['path']] = {
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- "path": row['path'],
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- "name": row['name'],
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- "speaker": row['speaker'],
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- "start_time": row['start_time'],
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- "end_time": row['end_time'],
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- "normalized_text": row['normalized_text'],
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- "text": row['text'],
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- "duration": row['duration'],
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- "type": row['type'],
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- "year": row['year'],
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- "gender": row['gender'],
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- "age_range": row['age_range'],
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- "total_duration": row['total_duration'],
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- "quality": row['quality'],
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- "theme": row['theme'],
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  }
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  else: # automatic
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- examples[row['file_path']] = {
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- "audio_name": row['audio_name'],
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- "file_path": row['file_path'],
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- "text": row['text'],
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- "start_time": row['start_time'],
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- "end_time": row['end_time'],
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- "duration": row['duration'],
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- "quality": row['quality'],
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- "speech_genre": row['speech_genre'],
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- "speech_style": row['speech_style'],
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- "variety": row['variety'],
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- "accent": row['accent'],
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- "sex": row['sex'],
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- "age_range": row['age_range'],
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- "num_speakers": row['num_speakers'],
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- "speaker_id": row['speaker_id'],
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  }
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-
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  id_ = 0
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  inside_clips_dir = False
 
 
 
 
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  for path, f in audio_files:
 
 
 
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  if path.startswith(path_to_clips):
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  inside_clips_dir = True
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-
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- # Debug print for matching audio file
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- print(f"Found matching audio file: {path}")
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-
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  if path in examples:
 
 
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  audio = {"path": path, "bytes": f.read()}
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  yield id_, {**examples[path], "audio": audio}
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  id_ += 1
 
 
 
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  elif inside_clips_dir:
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  break
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-
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- # Debug print for completion
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  print(f"Completed generating examples. Total examples: {id_}")
 
 
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  def _generate_examples(self, prompts_path, path_to_clips, audio_files):
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  examples = {}
 
 
 
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  with open(prompts_path, "r") as f:
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  csv_reader = csv.DictReader(f)
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  for row in csv_reader:
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+ # Debug: Print each row being processed
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  print(f"Processing row: {row}")
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+
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  if self.config.name == "prosodic":
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+ examples[row["path"]] = {
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+ "path": row["path"],
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+ "name": row["name"],
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+ "speaker": row["speaker"],
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+ "start_time": row["start_time"],
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+ "end_time": row["end_time"],
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+ "normalized_text": row["normalized_text"],
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+ "text": row["text"],
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+ "duration": row["duration"],
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+ "type": row["type"],
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+ "year": row["year"],
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+ "gender": row["gender"],
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+ "age_range": row["age_range"],
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+ "total_duration": row["total_duration"],
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+ "quality": row["quality"],
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+ "theme": row["theme"],
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  }
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  else: # automatic
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+ examples[row["file_path"]] = {
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+ "audio_name": row["audio_name"],
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+ "file_path": row["file_path"],
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+ "text": row["text"],
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+ "start_time": row["start_time"],
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+ "end_time": row["end_time"],
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+ "duration": row["duration"],
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+ "quality": row["quality"],
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+ "speech_genre": row["speech_genre"],
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+ "speech_style": row["speech_style"],
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+ "variety": row["variety"],
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+ "accent": row["accent"],
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+ "sex": row["sex"],
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+ "age_range": row["age_range"],
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+ "num_speakers": row["num_speakers"],
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+ "speaker_id": row["speaker_id"],
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  }
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+
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  id_ = 0
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  inside_clips_dir = False
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+
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+ # Debug: Print path_to_clips for reference
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+ print(f"Expected path_to_clips: {path_to_clips}")
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+
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  for path, f in audio_files:
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+ # Debug: Print each file in the archive
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+ print(f"Audio file in archive: {path}")
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+
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  if path.startswith(path_to_clips):
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  inside_clips_dir = True
 
 
 
 
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  if path in examples:
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+ # Debug: Match found
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+ print(f"Match found for: {path}")
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  audio = {"path": path, "bytes": f.read()}
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  yield id_, {**examples[path], "audio": audio}
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  id_ += 1
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+ else:
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+ # Debug: No match for this file
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+ print(f"No match for: {path}")
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  elif inside_clips_dir:
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  break
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+
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+ # Debug: Print total examples generated
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  print(f"Completed generating examples. Total examples: {id_}")
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+