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speaker_embeddings_path.json
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"fine_prompt": "speaker_embeddings/tr_speaker_8_fine_prompt.npy"}, "tr_speaker_5": {"semantic_prompt": "speaker_embeddings/tr_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_5_fine_prompt.npy"}, "v2/zh_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_8_fine_prompt.npy"}, "en_speaker_0": {"semantic_prompt": "speaker_embeddings/en_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_0_fine_prompt.npy"}, "hi_speaker_6": {"semantic_prompt": "speaker_embeddings/hi_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_6_fine_prompt.npy"}, "v2/fr_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_8_fine_prompt.npy"}, "es_speaker_3": {"semantic_prompt": "speaker_embeddings/es_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_3_fine_prompt.npy"}, "ko_speaker_0": {"semantic_prompt": "speaker_embeddings/ko_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_0_fine_prompt.npy"}, "v2/pt_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_0_fine_prompt.npy"}, "ja_speaker_4": {"semantic_prompt": "speaker_embeddings/ja_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_4_fine_prompt.npy"}, "v2/tr_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_2_fine_prompt.npy"}, "es_speaker_2": {"semantic_prompt": "speaker_embeddings/es_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_2_fine_prompt.npy"}, "v2/hi_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_9_fine_prompt.npy"}, "zh_speaker_0": {"semantic_prompt": "speaker_embeddings/zh_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_0_fine_prompt.npy"}, "hi_speaker_9": {"semantic_prompt": "speaker_embeddings/hi_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_9_fine_prompt.npy"}, "v2/pt_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_6_fine_prompt.npy"}, "v2/hi_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_0_fine_prompt.npy"}, "it_speaker_9": {"semantic_prompt": "speaker_embeddings/it_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_9_fine_prompt.npy"}, "it_speaker_6": {"semantic_prompt": "speaker_embeddings/it_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_6_fine_prompt.npy"}, "it_speaker_8": {"semantic_prompt": "speaker_embeddings/it_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_8_fine_prompt.npy"}, "v2/fr_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_4_fine_prompt.npy"}, "v2/pl_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_9_fine_prompt.npy"}, "v2/zh_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_1_fine_prompt.npy"}, "ru_speaker_9": {"semantic_prompt": "speaker_embeddings/ru_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_9_fine_prompt.npy"}, "v2/hi_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_1_fine_prompt.npy"}, "en_speaker_6": {"semantic_prompt": "speaker_embeddings/en_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_6_fine_prompt.npy"}, "en_speaker_9": {"semantic_prompt": "speaker_embeddings/en_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_9_fine_prompt.npy"}, "v2/es_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_5_fine_prompt.npy"}}
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|
| 1 |
+
{
|
| 2 |
+
"repo_or_path": "ylacombe/bark-small",
|
| 3 |
+
"hi_speaker_5": {
|
| 4 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_5_semantic_prompt.npy",
|
| 5 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_5_coarse_prompt.npy",
|
| 6 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_5_fine_prompt.npy"
|
| 7 |
+
},
|
| 8 |
+
"hi_speaker_0": {
|
| 9 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_0_semantic_prompt.npy",
|
| 10 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_0_coarse_prompt.npy",
|
| 11 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_0_fine_prompt.npy"
|
| 12 |
+
},
|
| 13 |
+
"hi_speaker_1": {
|
| 14 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_1_semantic_prompt.npy",
|
| 15 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_1_coarse_prompt.npy",
|
| 16 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_1_fine_prompt.npy"
|
| 17 |
+
},
|
| 18 |
+
"en_speaker_7": {
|
| 19 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_7_semantic_prompt.npy",
|
| 20 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_7_coarse_prompt.npy",
|
| 21 |
+
"fine_prompt": "speaker_embeddings/en_speaker_7_fine_prompt.npy"
|
| 22 |
+
},
|
| 23 |
+
"en_speaker_2": {
|
| 24 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_2_semantic_prompt.npy",
|
| 25 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_2_coarse_prompt.npy",
|
| 26 |
+
"fine_prompt": "speaker_embeddings/en_speaker_2_fine_prompt.npy"
|
| 27 |
+
},
|
| 28 |
+
"hi_speaker_8": {
|
| 29 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_8_semantic_prompt.npy",
|
| 30 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_8_coarse_prompt.npy",
|
| 31 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_8_fine_prompt.npy"
|
| 32 |
+
},
|
| 33 |
+
"en_speaker_8": {
|
| 34 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_8_semantic_prompt.npy",
|
| 35 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_8_coarse_prompt.npy",
|
| 36 |
+
"fine_prompt": "speaker_embeddings/en_speaker_8_fine_prompt.npy"
|
| 37 |
+
},
|
| 38 |
+
"hi_speaker_4": {
|
| 39 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_4_semantic_prompt.npy",
|
| 40 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_4_coarse_prompt.npy",
|
| 41 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_4_fine_prompt.npy"
|
| 42 |
+
},
|
| 43 |
+
"en_speaker_4": {
|
| 44 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_4_semantic_prompt.npy",
|
| 45 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_4_coarse_prompt.npy",
|
| 46 |
+
"fine_prompt": "speaker_embeddings/en_speaker_4_fine_prompt.npy"
|
| 47 |
+
},
|
| 48 |
+
"en_speaker_1": {
|
| 49 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_1_semantic_prompt.npy",
|
| 50 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_1_coarse_prompt.npy",
|
| 51 |
+
"fine_prompt": "speaker_embeddings/en_speaker_1_fine_prompt.npy"
|
| 52 |
+
},
|
| 53 |
+
"hi_speaker_7": {
|
| 54 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_7_semantic_prompt.npy",
|
| 55 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_7_coarse_prompt.npy",
|
| 56 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_7_fine_prompt.npy"
|
| 57 |
+
},
|
| 58 |
+
"hi_speaker_2": {
|
| 59 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_2_semantic_prompt.npy",
|
| 60 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_2_coarse_prompt.npy",
|
| 61 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_2_fine_prompt.npy"
|
| 62 |
+
},
|
| 63 |
+
"en_speaker_3": {
|
| 64 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_3_semantic_prompt.npy",
|
| 65 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_3_coarse_prompt.npy",
|
| 66 |
+
"fine_prompt": "speaker_embeddings/en_speaker_3_fine_prompt.npy"
|
| 67 |
+
},
|
| 68 |
+
"hi_speaker_3": {
|
| 69 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_3_semantic_prompt.npy",
|
| 70 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_3_coarse_prompt.npy",
|
| 71 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_3_fine_prompt.npy"
|
| 72 |
+
},
|
| 73 |
+
"en_speaker_5": {
|
| 74 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_5_semantic_prompt.npy",
|
| 75 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_5_coarse_prompt.npy",
|
| 76 |
+
"fine_prompt": "speaker_embeddings/en_speaker_5_fine_prompt.npy"
|
| 77 |
+
},
|
| 78 |
+
"en_speaker_0": {
|
| 79 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_0_semantic_prompt.npy",
|
| 80 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_0_coarse_prompt.npy",
|
| 81 |
+
"fine_prompt": "speaker_embeddings/en_speaker_0_fine_prompt.npy"
|
| 82 |
+
},
|
| 83 |
+
"hi_speaker_6": {
|
| 84 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_6_semantic_prompt.npy",
|
| 85 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_6_coarse_prompt.npy",
|
| 86 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_6_fine_prompt.npy"
|
| 87 |
+
},
|
| 88 |
+
"hi_speaker_9": {
|
| 89 |
+
"semantic_prompt": "speaker_embeddings/hi_speaker_9_semantic_prompt.npy",
|
| 90 |
+
"coarse_prompt": "speaker_embeddings/hi_speaker_9_coarse_prompt.npy",
|
| 91 |
+
"fine_prompt": "speaker_embeddings/hi_speaker_9_fine_prompt.npy"
|
| 92 |
+
},
|
| 93 |
+
"en_speaker_6": {
|
| 94 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_6_semantic_prompt.npy",
|
| 95 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_6_coarse_prompt.npy",
|
| 96 |
+
"fine_prompt": "speaker_embeddings/en_speaker_6_fine_prompt.npy"
|
| 97 |
+
},
|
| 98 |
+
"en_speaker_9": {
|
| 99 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_9_semantic_prompt.npy",
|
| 100 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_9_coarse_prompt.npy",
|
| 101 |
+
"fine_prompt": "speaker_embeddings/en_speaker_9_fine_prompt.npy"
|
| 102 |
+
}
|
| 103 |
+
}
|