asahi417 commited on
Commit
00f97de
1 Parent(s): e0927c5
Files changed (2) hide show
  1. attach_speaker_embedding_s2s.py +2 -2
  2. main_s2s.sh +8 -0
attach_speaker_embedding_s2s.py CHANGED
@@ -21,8 +21,8 @@ elif se_model == "pyannote":
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  from speaker_embedding_pyannote import PyannoteSE
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  speaker_embedder = PyannoteSE()
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  elif se_model == "w2vbert-600m":
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- from speaker_embedding_hf import Wav2VecEmbedding
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- speaker_embedder = Wav2VecEmbedding()
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  elif se_model == "xlsr-2b":
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  from speaker_embedding_hf import XLSR2BEmbedding
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  speaker_embedder = XLSR2BEmbedding()
 
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  from speaker_embedding_pyannote import PyannoteSE
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  speaker_embedder = PyannoteSE()
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  elif se_model == "w2vbert-600m":
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+ from speaker_embedding_hf import W2VBERTEmbedding
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+ speaker_embedder = W2VBERTEmbedding()
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  elif se_model == "xlsr-2b":
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  from speaker_embedding_hf import XLSR2BEmbedding
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  speaker_embedder = XLSR2BEmbedding()
main_s2s.sh CHANGED
@@ -337,6 +337,8 @@ do
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
 
 
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  for i in $(seq 1 258);
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  do
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  export DATASET_ID=${i}
@@ -371,6 +373,8 @@ do
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
 
 
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  for i in $(seq 1 144);
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  do
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  export DATASET_ID=${i}
@@ -406,6 +410,8 @@ do
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
 
 
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  for i in $(seq 1 91);
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  do
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  export DATASET_ID=${i}
@@ -440,6 +446,8 @@ do
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
 
 
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  for i in $(seq 1 149);
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  do
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  export DATASET_ID=${i}
 
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
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+ export SE_MODEL="metavoice"
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+ export SE_MODEL="w2vbert-600m"
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  for i in $(seq 1 258);
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  do
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  export DATASET_ID=${i}
 
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
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+ export SE_MODEL="metavoice"
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+ export SE_MODEL="w2vbert-600m"
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  for i in $(seq 1 144);
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  do
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  export DATASET_ID=${i}
 
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
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+ export SE_MODEL="metavoice"
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+ export SE_MODEL="w2vbert-600m"
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  for i in $(seq 1 91);
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  do
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  export DATASET_ID=${i}
 
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  python tokenize_dataset_s2s.py
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  done
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  # speaker embedding
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+ export SE_MODEL="metavoice"
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+ export SE_MODEL="w2vbert-600m"
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  for i in $(seq 1 149);
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  do
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  export DATASET_ID=${i}