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bark-flash-attention-2

Text-to-Audio
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Safetensors
bark
Model card Files Community
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Upload processor

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  1. processor_config.json +1311 -0
  2. special_tokens_map.json +37 -0
  3. tokenizer.json +0 -0
  4. tokenizer_config.json +57 -0
  5. vocab.txt +0 -0
processor_config.json ADDED
@@ -0,0 +1,1311 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "processor_class": "BarkProcessor",
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+ "speaker_embeddings": {
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+ "announcer": {
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+ "coarse_prompt": "speaker_embeddings/announcer_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/announcer_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/announcer_semantic_prompt.npy"
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+ },
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+ "de_speaker_0": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_0_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_0_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_0_semantic_prompt.npy"
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+ },
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+ "de_speaker_1": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_1_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_1_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_1_semantic_prompt.npy"
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+ },
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+ "de_speaker_2": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_2_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_2_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_2_semantic_prompt.npy"
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+ },
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+ "de_speaker_3": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_3_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_3_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_3_semantic_prompt.npy"
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+ },
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+ "de_speaker_4": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_4_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_4_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_4_semantic_prompt.npy"
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+ },
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+ "de_speaker_5": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_5_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_5_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_5_semantic_prompt.npy"
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+ },
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+ "de_speaker_6": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_6_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_6_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_6_semantic_prompt.npy"
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+ },
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+ "de_speaker_7": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_7_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_7_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_7_semantic_prompt.npy"
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+ },
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+ "de_speaker_8": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_8_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_8_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_8_semantic_prompt.npy"
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+ },
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+ "de_speaker_9": {
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+ "coarse_prompt": "speaker_embeddings/de_speaker_9_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/de_speaker_9_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/de_speaker_9_semantic_prompt.npy"
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+ },
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+ "en_speaker_0": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_0_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_0_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_0_semantic_prompt.npy"
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+ },
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+ "en_speaker_1": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_1_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_1_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_1_semantic_prompt.npy"
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+ },
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+ "en_speaker_2": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_2_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_2_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_2_semantic_prompt.npy"
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+ },
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+ "en_speaker_3": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_3_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_3_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_3_semantic_prompt.npy"
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+ },
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+ "en_speaker_4": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_4_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_4_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_4_semantic_prompt.npy"
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+ },
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+ "en_speaker_5": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_5_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_5_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_5_semantic_prompt.npy"
88
+ },
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+ "en_speaker_6": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_6_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_6_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_6_semantic_prompt.npy"
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+ },
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+ "en_speaker_7": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_7_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_7_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_7_semantic_prompt.npy"
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+ },
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+ "en_speaker_8": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_8_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_8_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_8_semantic_prompt.npy"
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+ },
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+ "en_speaker_9": {
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+ "coarse_prompt": "speaker_embeddings/en_speaker_9_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/en_speaker_9_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/en_speaker_9_semantic_prompt.npy"
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+ },
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+ "es_speaker_0": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_0_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_0_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_0_semantic_prompt.npy"
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+ },
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+ "es_speaker_1": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_1_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_1_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_1_semantic_prompt.npy"
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+ },
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+ "es_speaker_2": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_2_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_2_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_2_semantic_prompt.npy"
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+ },
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+ "es_speaker_3": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_3_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_3_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_3_semantic_prompt.npy"
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+ },
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+ "es_speaker_4": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_4_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_4_fine_prompt.npy",
132
+ "semantic_prompt": "speaker_embeddings/es_speaker_4_semantic_prompt.npy"
133
+ },
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+ "es_speaker_5": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_5_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_5_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_5_semantic_prompt.npy"
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+ },
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+ "es_speaker_6": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_6_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_6_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_6_semantic_prompt.npy"
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+ },
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+ "es_speaker_7": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_7_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_7_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_7_semantic_prompt.npy"
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+ },
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+ "es_speaker_8": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_8_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_8_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_8_semantic_prompt.npy"
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+ },
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+ "es_speaker_9": {
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+ "coarse_prompt": "speaker_embeddings/es_speaker_9_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/es_speaker_9_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/es_speaker_9_semantic_prompt.npy"
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+ },
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+ "fr_speaker_0": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_0_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/fr_speaker_0_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/fr_speaker_0_semantic_prompt.npy"
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+ },
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+ "fr_speaker_1": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_1_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/fr_speaker_1_fine_prompt.npy",
167
+ "semantic_prompt": "speaker_embeddings/fr_speaker_1_semantic_prompt.npy"
168
+ },
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+ "fr_speaker_2": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_2_coarse_prompt.npy",
171
+ "fine_prompt": "speaker_embeddings/fr_speaker_2_fine_prompt.npy",
172
+ "semantic_prompt": "speaker_embeddings/fr_speaker_2_semantic_prompt.npy"
173
+ },
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+ "fr_speaker_3": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_3_coarse_prompt.npy",
176
+ "fine_prompt": "speaker_embeddings/fr_speaker_3_fine_prompt.npy",
177
+ "semantic_prompt": "speaker_embeddings/fr_speaker_3_semantic_prompt.npy"
178
+ },
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+ "fr_speaker_4": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_4_coarse_prompt.npy",
181
+ "fine_prompt": "speaker_embeddings/fr_speaker_4_fine_prompt.npy",
182
+ "semantic_prompt": "speaker_embeddings/fr_speaker_4_semantic_prompt.npy"
183
+ },
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+ "fr_speaker_5": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_5_coarse_prompt.npy",
186
+ "fine_prompt": "speaker_embeddings/fr_speaker_5_fine_prompt.npy",
187
+ "semantic_prompt": "speaker_embeddings/fr_speaker_5_semantic_prompt.npy"
188
+ },
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+ "fr_speaker_6": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_6_coarse_prompt.npy",
191
+ "fine_prompt": "speaker_embeddings/fr_speaker_6_fine_prompt.npy",
192
+ "semantic_prompt": "speaker_embeddings/fr_speaker_6_semantic_prompt.npy"
193
+ },
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+ "fr_speaker_7": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_7_coarse_prompt.npy",
196
+ "fine_prompt": "speaker_embeddings/fr_speaker_7_fine_prompt.npy",
197
+ "semantic_prompt": "speaker_embeddings/fr_speaker_7_semantic_prompt.npy"
198
+ },
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+ "fr_speaker_8": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_8_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/fr_speaker_8_fine_prompt.npy",
202
+ "semantic_prompt": "speaker_embeddings/fr_speaker_8_semantic_prompt.npy"
203
+ },
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+ "fr_speaker_9": {
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+ "coarse_prompt": "speaker_embeddings/fr_speaker_9_coarse_prompt.npy",
206
+ "fine_prompt": "speaker_embeddings/fr_speaker_9_fine_prompt.npy",
207
+ "semantic_prompt": "speaker_embeddings/fr_speaker_9_semantic_prompt.npy"
208
+ },
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+ "hi_speaker_0": {
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+ "coarse_prompt": "speaker_embeddings/hi_speaker_0_coarse_prompt.npy",
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+ "fine_prompt": "speaker_embeddings/hi_speaker_0_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/hi_speaker_0_semantic_prompt.npy"
213
+ },
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+ "hi_speaker_1": {
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+ "coarse_prompt": "speaker_embeddings/hi_speaker_1_coarse_prompt.npy",
216
+ "fine_prompt": "speaker_embeddings/hi_speaker_1_fine_prompt.npy",
217
+ "semantic_prompt": "speaker_embeddings/hi_speaker_1_semantic_prompt.npy"
218
+ },
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+ "hi_speaker_2": {
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+ "coarse_prompt": "speaker_embeddings/hi_speaker_2_coarse_prompt.npy",
221
+ "fine_prompt": "speaker_embeddings/hi_speaker_2_fine_prompt.npy",
222
+ "semantic_prompt": "speaker_embeddings/hi_speaker_2_semantic_prompt.npy"
223
+ },
224
+ "hi_speaker_3": {
225
+ "coarse_prompt": "speaker_embeddings/hi_speaker_3_coarse_prompt.npy",
226
+ "fine_prompt": "speaker_embeddings/hi_speaker_3_fine_prompt.npy",
227
+ "semantic_prompt": "speaker_embeddings/hi_speaker_3_semantic_prompt.npy"
228
+ },
229
+ "hi_speaker_4": {
230
+ "coarse_prompt": "speaker_embeddings/hi_speaker_4_coarse_prompt.npy",
231
+ "fine_prompt": "speaker_embeddings/hi_speaker_4_fine_prompt.npy",
232
+ "semantic_prompt": "speaker_embeddings/hi_speaker_4_semantic_prompt.npy"
233
+ },
234
+ "hi_speaker_5": {
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+ "coarse_prompt": "speaker_embeddings/hi_speaker_5_coarse_prompt.npy",
236
+ "fine_prompt": "speaker_embeddings/hi_speaker_5_fine_prompt.npy",
237
+ "semantic_prompt": "speaker_embeddings/hi_speaker_5_semantic_prompt.npy"
238
+ },
239
+ "hi_speaker_6": {
240
+ "coarse_prompt": "speaker_embeddings/hi_speaker_6_coarse_prompt.npy",
241
+ "fine_prompt": "speaker_embeddings/hi_speaker_6_fine_prompt.npy",
242
+ "semantic_prompt": "speaker_embeddings/hi_speaker_6_semantic_prompt.npy"
243
+ },
244
+ "hi_speaker_7": {
245
+ "coarse_prompt": "speaker_embeddings/hi_speaker_7_coarse_prompt.npy",
246
+ "fine_prompt": "speaker_embeddings/hi_speaker_7_fine_prompt.npy",
247
+ "semantic_prompt": "speaker_embeddings/hi_speaker_7_semantic_prompt.npy"
248
+ },
249
+ "hi_speaker_8": {
250
+ "coarse_prompt": "speaker_embeddings/hi_speaker_8_coarse_prompt.npy",
251
+ "fine_prompt": "speaker_embeddings/hi_speaker_8_fine_prompt.npy",
252
+ "semantic_prompt": "speaker_embeddings/hi_speaker_8_semantic_prompt.npy"
253
+ },
254
+ "hi_speaker_9": {
255
+ "coarse_prompt": "speaker_embeddings/hi_speaker_9_coarse_prompt.npy",
256
+ "fine_prompt": "speaker_embeddings/hi_speaker_9_fine_prompt.npy",
257
+ "semantic_prompt": "speaker_embeddings/hi_speaker_9_semantic_prompt.npy"
258
+ },
259
+ "it_speaker_0": {
260
+ "coarse_prompt": "speaker_embeddings/it_speaker_0_coarse_prompt.npy",
261
+ "fine_prompt": "speaker_embeddings/it_speaker_0_fine_prompt.npy",
262
+ "semantic_prompt": "speaker_embeddings/it_speaker_0_semantic_prompt.npy"
263
+ },
264
+ "it_speaker_1": {
265
+ "coarse_prompt": "speaker_embeddings/it_speaker_1_coarse_prompt.npy",
266
+ "fine_prompt": "speaker_embeddings/it_speaker_1_fine_prompt.npy",
267
+ "semantic_prompt": "speaker_embeddings/it_speaker_1_semantic_prompt.npy"
268
+ },
269
+ "it_speaker_2": {
270
+ "coarse_prompt": "speaker_embeddings/it_speaker_2_coarse_prompt.npy",
271
+ "fine_prompt": "speaker_embeddings/it_speaker_2_fine_prompt.npy",
272
+ "semantic_prompt": "speaker_embeddings/it_speaker_2_semantic_prompt.npy"
273
+ },
274
+ "it_speaker_3": {
275
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+ "semantic_prompt": "speaker_embeddings/v2/tr_speaker_9_semantic_prompt.npy"
1209
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1211
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1212
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_0_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_0_semantic_prompt.npy"
1214
+ },
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1216
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1217
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_1_fine_prompt.npy",
1218
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_1_semantic_prompt.npy"
1219
+ },
1220
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1221
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_2_coarse_prompt.npy",
1222
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_2_fine_prompt.npy",
1223
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_2_semantic_prompt.npy"
1224
+ },
1225
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+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_3_fine_prompt.npy",
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+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_3_semantic_prompt.npy"
1229
+ },
1230
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1231
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_4_coarse_prompt.npy",
1232
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_4_fine_prompt.npy",
1233
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_4_semantic_prompt.npy"
1234
+ },
1235
+ "v2/zh_speaker_5": {
1236
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_5_coarse_prompt.npy",
1237
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_5_fine_prompt.npy",
1238
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_5_semantic_prompt.npy"
1239
+ },
1240
+ "v2/zh_speaker_6": {
1241
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_6_coarse_prompt.npy",
1242
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_6_fine_prompt.npy",
1243
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_6_semantic_prompt.npy"
1244
+ },
1245
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1246
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_7_coarse_prompt.npy",
1247
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_7_fine_prompt.npy",
1248
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_7_semantic_prompt.npy"
1249
+ },
1250
+ "v2/zh_speaker_8": {
1251
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_8_coarse_prompt.npy",
1252
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_8_fine_prompt.npy",
1253
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_8_semantic_prompt.npy"
1254
+ },
1255
+ "v2/zh_speaker_9": {
1256
+ "coarse_prompt": "speaker_embeddings/v2/zh_speaker_9_coarse_prompt.npy",
1257
+ "fine_prompt": "speaker_embeddings/v2/zh_speaker_9_fine_prompt.npy",
1258
+ "semantic_prompt": "speaker_embeddings/v2/zh_speaker_9_semantic_prompt.npy"
1259
+ },
1260
+ "zh_speaker_0": {
1261
+ "coarse_prompt": "speaker_embeddings/zh_speaker_0_coarse_prompt.npy",
1262
+ "fine_prompt": "speaker_embeddings/zh_speaker_0_fine_prompt.npy",
1263
+ "semantic_prompt": "speaker_embeddings/zh_speaker_0_semantic_prompt.npy"
1264
+ },
1265
+ "zh_speaker_1": {
1266
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1267
+ "fine_prompt": "speaker_embeddings/zh_speaker_1_fine_prompt.npy",
1268
+ "semantic_prompt": "speaker_embeddings/zh_speaker_1_semantic_prompt.npy"
1269
+ },
1270
+ "zh_speaker_2": {
1271
+ "coarse_prompt": "speaker_embeddings/zh_speaker_2_coarse_prompt.npy",
1272
+ "fine_prompt": "speaker_embeddings/zh_speaker_2_fine_prompt.npy",
1273
+ "semantic_prompt": "speaker_embeddings/zh_speaker_2_semantic_prompt.npy"
1274
+ },
1275
+ "zh_speaker_3": {
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+ "coarse_prompt": "speaker_embeddings/zh_speaker_3_coarse_prompt.npy",
1277
+ "fine_prompt": "speaker_embeddings/zh_speaker_3_fine_prompt.npy",
1278
+ "semantic_prompt": "speaker_embeddings/zh_speaker_3_semantic_prompt.npy"
1279
+ },
1280
+ "zh_speaker_4": {
1281
+ "coarse_prompt": "speaker_embeddings/zh_speaker_4_coarse_prompt.npy",
1282
+ "fine_prompt": "speaker_embeddings/zh_speaker_4_fine_prompt.npy",
1283
+ "semantic_prompt": "speaker_embeddings/zh_speaker_4_semantic_prompt.npy"
1284
+ },
1285
+ "zh_speaker_5": {
1286
+ "coarse_prompt": "speaker_embeddings/zh_speaker_5_coarse_prompt.npy",
1287
+ "fine_prompt": "speaker_embeddings/zh_speaker_5_fine_prompt.npy",
1288
+ "semantic_prompt": "speaker_embeddings/zh_speaker_5_semantic_prompt.npy"
1289
+ },
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+ "zh_speaker_6": {
1291
+ "coarse_prompt": "speaker_embeddings/zh_speaker_6_coarse_prompt.npy",
1292
+ "fine_prompt": "speaker_embeddings/zh_speaker_6_fine_prompt.npy",
1293
+ "semantic_prompt": "speaker_embeddings/zh_speaker_6_semantic_prompt.npy"
1294
+ },
1295
+ "zh_speaker_7": {
1296
+ "coarse_prompt": "speaker_embeddings/zh_speaker_7_coarse_prompt.npy",
1297
+ "fine_prompt": "speaker_embeddings/zh_speaker_7_fine_prompt.npy",
1298
+ "semantic_prompt": "speaker_embeddings/zh_speaker_7_semantic_prompt.npy"
1299
+ },
1300
+ "zh_speaker_8": {
1301
+ "coarse_prompt": "speaker_embeddings/zh_speaker_8_coarse_prompt.npy",
1302
+ "fine_prompt": "speaker_embeddings/zh_speaker_8_fine_prompt.npy",
1303
+ "semantic_prompt": "speaker_embeddings/zh_speaker_8_semantic_prompt.npy"
1304
+ },
1305
+ "zh_speaker_9": {
1306
+ "coarse_prompt": "speaker_embeddings/zh_speaker_9_coarse_prompt.npy",
1307
+ "fine_prompt": "speaker_embeddings/zh_speaker_9_fine_prompt.npy",
1308
+ "semantic_prompt": "speaker_embeddings/zh_speaker_9_semantic_prompt.npy"
1309
+ }
1310
+ }
1311
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "cls_token": {
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+ "content": "[CLS]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "mask_token": {
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+ "single_word": false
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+ },
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+ "pad_token": {
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+ "content": "[PAD]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "sep_token": {
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+ "content": "[SEP]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "unk_token": {
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+ "content": "[UNK]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ }
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "[PAD]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "special": true
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+ "100": {
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+ "special": true
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+ },
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+ "101": {
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+ "normalized": false,
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+ "rstrip": false,
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+ "special": true
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+ "102": {
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+ "special": true
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "[CLS]",
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+ "do_lower_case": false,
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+ "extra_special_tokens": {},
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+ "mask_token": "[MASK]",
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+ "model_max_length": 512,
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+ "pad_token": "[PAD]",
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+ "processor_class": "BarkProcessor",
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+ "sep_token": "[SEP]",
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+ "strip_accents": null,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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+ "unk_token": "[UNK]"
57
+ }
vocab.txt ADDED
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