init
Browse files- attach_speaker_embedding_s2s.py +2 -1
- main_s2s.sh +1 -1
attach_speaker_embedding_s2s.py
CHANGED
@@ -15,6 +15,7 @@ dataset = load_dataset(f"{hf_org}/{hf_dataset}", f"subset_{dataset_id}", split="
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audio_loader = Audio()
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se_model = os.getenv("SE_MODEL", "metavoice")
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max_seq_length = 10000000
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if se_model == "metavoice":
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from speaker_embedding_metavoice import MetaVoiceSE
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@@ -39,7 +40,7 @@ def error_file(example):
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for side in sides:
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try:
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wav = audio_loader.decode_example(example[f"{side}.audio"])
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-
if len(wav["array"])
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return False
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except ValueError:
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return False
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audio_loader = Audio()
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se_model = os.getenv("SE_MODEL", "metavoice")
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max_seq_length = 10000000
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+
min_seq_length = 50000
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if se_model == "metavoice":
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from speaker_embedding_metavoice import MetaVoiceSE
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for side in sides:
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try:
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wav = audio_loader.decode_example(example[f"{side}.audio"])
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+
if len(wav["array"]) < min_seq_length or len(wav["array"]) > max_seq_length:
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return False
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except ValueError:
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return False
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main_s2s.sh
CHANGED
@@ -410,7 +410,7 @@ export DIRECTION="enA-zhA"
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python attach_speaker_embedding_s2s.py
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export SE_MODEL="w2vbert-600m" # running
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-
export DATASET_ID=
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export DIRECTION="enA-zhA"
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python attach_speaker_embedding_s2s.py
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python attach_speaker_embedding_s2s.py
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export SE_MODEL="w2vbert-600m" # running
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+
export DATASET_ID=167
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export DIRECTION="enA-zhA"
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python attach_speaker_embedding_s2s.py
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