fix vall_e.emb.transcriber

vall_e/emb/process.py

@@ -87,21 +87,22 @@ def process_jobs( jobs, speaker_id="", raise_exceptions=True ):
 			continue
 
 def process(
-		audio_backend="encodec",
+	audio_backend="encodec",
-		input_audio="voices",
+	input_audio="voices",
-		input_metadata="metadata",
+	input_voice=None,
-		output_dataset="training",
+	input_metadata="metadata",
-		raise_exceptions=False,
+	output_dataset="training",
-		stride=0,
+	raise_exceptions=False,
-		stride_offset=0,
+	stride=0,
-		slice="auto",
+	stride_offset=0,
+	slice="auto",
 
-		low_memory=False,
+	low_memory=False,
 
-		device="cuda",
+	device="cuda",
-		dtype="float16",
+	dtype="float16",
-		amp=False,
+	amp=False,
-	):
+):
 	# prepare from args
 	cfg.set_audio_backend(audio_backend)
 	audio_extension = cfg.audio_backend_extension
@@ -129,6 +130,9 @@ def process(
 	}
 	dataset = []
 
+	if input_voice is not None:
+		only_speakers = [input_voice]
+
 	for group_name in sorted(os.listdir(f'./{input_audio}/')):
 		if not os.path.isdir(f'./{input_audio}/{group_name}/'):
 			_logger.warning(f'Is not dir:" /{input_audio}/{group_name}/')
@@ -255,6 +259,7 @@ def main():
 
 	parser.add_argument("--audio-backend", type=str, default="encodec")
 	parser.add_argument("--input-audio", type=str, default="voices")
+	parser.add_argument("--input-voice", type=str, default=None)
 	parser.add_argument("--input-metadata", type=str, default="training/metadata")
 	parser.add_argument("--output-dataset", type=str, default="training/dataset")
 	parser.add_argument("--raise-exceptions", action="store_true")
@@ -279,6 +284,7 @@ def main():
 	process(
 		audio_backend=args.audio_backend,
 		input_audio=args.input_audio,
+		input_voice=args.input_voice,
 		input_metadata=args.input_metadata,
 		output_dataset=args.output_dataset,
 		raise_exceptions=args.raise_exceptions,

vall_e/emb/transcribe.py

@@ -23,6 +23,7 @@ def process_items( items, stride=0, stride_offset=0 ):
 
 def transcribe(
 	input_audio = "voices",
+	input_voice = None,
 	output_metadata = "training/metadata",
 	model_name = "large-v3",
 	
@@ -30,12 +31,24 @@ def transcribe(
 	diarize = False,
 
 	stride = 0,
-	stride_offset = ,
+	stride_offset = 0,
 
 	batch_size = 16,
 	device = "cuda",
 	dtype = "float16",
 ):
+	# to-do: make this also prepared from args
+	language_map = {} # k = group, v = language
+
+	ignore_groups = [] # skip these groups
+	ignore_speakers = [] # skip these speakers
+
+	only_groups = [] # only process these groups
+	only_speakers = [] # only process these speakers
+
+	if input_voice is not None:
+		only_speakers = [input_voice]
+
 	# 
 	model = whisperx.load_model(model_name, device, compute_type=dtype)
 	align_model, align_model_metadata, align_model_language = (None, None, None)
@@ -49,10 +62,20 @@ def transcribe(
 		if not os.path.isdir(f'./{input_audio}/{dataset_name}/'):
 			continue
 
+		if group_name in ignore_groups:
+			continue
+		if only_groups and group_name not in only_groups:
+			continue
+
 		for speaker_id in tqdm(process_items(os.listdir(f'./{input_audio}/{dataset_name}/')), desc="Processing speaker"):
 			if not os.path.isdir(f'./{input_audio}/{dataset_name}/{speaker_id}'):
 				continue
 
+			if speaker_id in ignore_speakers:
+				continue
+			if only_speakers and speaker_id not in only_speakers:
+				continue
+
 			outpath = Path(f'./{output_metadata}/{dataset_name}/{speaker_id}/whisper.json')
 
 			if outpath.exists():
@@ -122,6 +145,7 @@ def main():
 	parser = argparse.ArgumentParser()
 
 	parser.add_argument("--input-audio", type=str, default="voices")
+	parser.add_argument("--input-voice", type=str, default=None)
 	parser.add_argument("--output-metadata", type=str, default="training/metadata")
 
 	parser.add_argument("--model-name", type=str, default="large-v3")
@@ -147,6 +171,7 @@ def main():
 
 	transcribe(
 		input_audio = args.input_audio,
+		input_voice = args.input_voice,
 		output_metadata = args.output_metadata,
 		model_name = args.model_name,