init
Browse files- attach_speaker_embedding_s2s.py +2 -2
- main_s2s.sh +8 -0
attach_speaker_embedding_s2s.py
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@@ -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
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speaker_embedder =
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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()
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main_s2s.sh
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@@ -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}
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@@ -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}
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@@ -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}
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@@ -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}
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