| announcer_coarse_prompt.npy | 3.13 kB | | d8d22557 |
| announcer_fine_prompt.npy | 12.1 kB | | a2d28002 |
| announcer_semantic_prompt.npy | 1.13 kB | | 5bc6ebfe |
| de_speaker_0_coarse_prompt.npy | 9.47 kB | | df6915d7 |
| de_speaker_0_fine_prompt.npy | 18.8 kB | | 4b34f67c |
| de_speaker_0_semantic_prompt.npy | 3.24 kB | | 7042c2ba |
| de_speaker_1_coarse_prompt.npy | 9.47 kB | | 2aeb65ac |
| de_speaker_1_fine_prompt.npy | 18.8 kB | | f4b54702 |
| de_speaker_1_semantic_prompt.npy | 3.24 kB | | 50079eca |
| de_speaker_2_coarse_prompt.npy | 6.94 kB | | 164bf72c |
| de_speaker_2_fine_prompt.npy | 13.8 kB | | fab1d154 |
| de_speaker_2_semantic_prompt.npy | 2.4 kB | | 1eee42f7 |
| de_speaker_3_coarse_prompt.npy | 8.61 kB | | 83ab828b |
| de_speaker_3_fine_prompt.npy | 17.1 kB | | 7571ed84 |
| de_speaker_3_semantic_prompt.npy | 2.95 kB | | 30f6f71c |
| de_speaker_4_coarse_prompt.npy | 5.98 kB | | 19dd78ca |
| de_speaker_4_fine_prompt.npy | 11.8 kB | | 222c3c7b |
| de_speaker_4_semantic_prompt.npy | 2.08 kB | | 06adf062 |
| de_speaker_5_coarse_prompt.npy | 10.4 kB | | 54d7f750 |
| de_speaker_5_fine_prompt.npy | 20.7 kB | | 7c0073ca |
| de_speaker_5_semantic_prompt.npy | 3.55 kB | | 3100eaf2 |
| de_speaker_6_coarse_prompt.npy | 9.41 kB | | 30ade5dc |
| de_speaker_6_fine_prompt.npy | 18.7 kB | | 2ab7ac38 |
| de_speaker_6_semantic_prompt.npy | 3.22 kB | | b0d61173 |
| de_speaker_7_coarse_prompt.npy | 17.7 kB | | 17be913f |
| de_speaker_7_fine_prompt.npy | 35.3 kB | | d675bbfc |
| de_speaker_7_semantic_prompt.npy | 5.98 kB | | 7f3b959f |
| de_speaker_8_coarse_prompt.npy | 7.42 kB | | 43fefe9d |
| de_speaker_8_fine_prompt.npy | 14.7 kB | | 03af7de4 |
| de_speaker_8_semantic_prompt.npy | 2.56 kB | | ddb8ffdd |
| de_speaker_9_coarse_prompt.npy | 6.54 kB | | bad41b14 |
| de_speaker_9_fine_prompt.npy | 13 kB | | 27b6313c |
| de_speaker_9_semantic_prompt.npy | 2.26 kB | | c637f0fd |
| en_speaker_0_coarse_prompt.npy | 6.61 kB | | d328bd50 |
| en_speaker_0_fine_prompt.npy | 13.1 kB | | da6238cf |
| en_speaker_0_semantic_prompt.npy | 2.29 kB | | 2a110a55 |
| en_speaker_1_coarse_prompt.npy | 5.41 kB | | e1d3728e |
| en_speaker_1_fine_prompt.npy | 10.7 kB | | f2a5e065 |
| en_speaker_1_semantic_prompt.npy | 1.89 kB | | 94a640b7 |
| en_speaker_2_coarse_prompt.npy | 10 kB | | 7649956b |
| en_speaker_2_fine_prompt.npy | 20 kB | | ff1ff734 |
| en_speaker_2_semantic_prompt.npy | 3.43 kB | | 442c8eca |
| en_speaker_3_coarse_prompt.npy | 11.3 kB | | 681c9c99 |
| en_speaker_3_fine_prompt.npy | 22.5 kB | | f179a997 |
| en_speaker_3_semantic_prompt.npy | 3.86 kB | | bbee477a |
| en_speaker_4_coarse_prompt.npy | 6.26 kB | | 4c0713bf |
| en_speaker_4_fine_prompt.npy | 12.4 kB | | fc326f4f |
| en_speaker_4_semantic_prompt.npy | 2.17 kB | | b8c15b40 |
| en_speaker_5_coarse_prompt.npy | 4.54 kB | | 3eb7bdaf |
| en_speaker_5_fine_prompt.npy | 8.96 kB | | 24eaca1d |
| en_speaker_5_semantic_prompt.npy | 1.6 kB | | 897e2d03 |
| en_speaker_6_coarse_prompt.npy | 3.92 kB | | f8b75cc8 |
| en_speaker_6_fine_prompt.npy | 7.71 kB | | 03c13c7b |
| en_speaker_6_semantic_prompt.npy | 1.39 kB | | dc0dd330 |
| en_speaker_7_coarse_prompt.npy | 10.4 kB | | 8c2a1d7c |
| en_speaker_7_fine_prompt.npy | 20.7 kB | | 87b1926a |
| en_speaker_7_semantic_prompt.npy | 3.55 kB | | ccd85d2d |
| en_speaker_8_coarse_prompt.npy | 5.58 kB | | 9d7088da |
| en_speaker_8_fine_prompt.npy | 11 kB | | 649f5152 |
| en_speaker_8_semantic_prompt.npy | 1.94 kB | | 807974f4 |
| en_speaker_9_coarse_prompt.npy | 10.7 kB | | a9fade03 |
| en_speaker_9_fine_prompt.npy | 21.2 kB | | 1337a0f6 |
| en_speaker_9_semantic_prompt.npy | 3.64 kB | | a3d953a7 |
| es_speaker_0_coarse_prompt.npy | 8.18 kB | | 27cee684 |
| es_speaker_0_fine_prompt.npy | 16.2 kB | | ad160284 |
| es_speaker_0_semantic_prompt.npy | 2.81 kB | | 7abc8ab2 |
| es_speaker_1_coarse_prompt.npy | 7.52 kB | | 081cdb1c |
| es_speaker_1_fine_prompt.npy | 14.9 kB | | d19d1932 |
| es_speaker_1_semantic_prompt.npy | 2.59 kB | | fb43a26b |
| es_speaker_2_coarse_prompt.npy | 8.18 kB | | 00c194d3 |
| es_speaker_2_fine_prompt.npy | 16.2 kB | | 8fb3046d |
| es_speaker_2_semantic_prompt.npy | 2.81 kB | | bf7145ad |
| es_speaker_3_coarse_prompt.npy | 7.84 kB | | 364f5d4f |
| es_speaker_3_fine_prompt.npy | 15.6 kB | | 2fb3cc94 |
| es_speaker_3_semantic_prompt.npy | 2.7 kB | | 0397554f |
| es_speaker_4_coarse_prompt.npy | 7.22 kB | | 34348d77 |
| es_speaker_4_fine_prompt.npy | 14.3 kB | | 63fe2c08 |
| es_speaker_4_semantic_prompt.npy | 2.49 kB | | ace84ffc |
| es_speaker_5_coarse_prompt.npy | 7.36 kB | | 9903a3ea |
| es_speaker_5_fine_prompt.npy | 14.6 kB | | 5417e851 |
| es_speaker_5_semantic_prompt.npy | 2.54 kB | | 82d55ceb |
| es_speaker_6_coarse_prompt.npy | 10.3 kB | | c313158d |
| es_speaker_6_fine_prompt.npy | 20.5 kB | | c9bbc2b9 |
| es_speaker_6_semantic_prompt.npy | 3.53 kB | | 55a06657 |
| es_speaker_7_coarse_prompt.npy | 6.37 kB | | caa7255d |
| es_speaker_7_fine_prompt.npy | 12.6 kB | | 91fdfbe3 |
| es_speaker_7_semantic_prompt.npy | 2.21 kB | | 5227f5d0 |
| es_speaker_8_coarse_prompt.npy | 5.49 kB | | a32f353c |
| es_speaker_8_fine_prompt.npy | 10.8 kB | | cd3fc01d |
| es_speaker_8_semantic_prompt.npy | 1.91 kB | | 0a1054ff |
| es_speaker_9_coarse_prompt.npy | 6.69 kB | | eb9a9e84 |
| es_speaker_9_fine_prompt.npy | 13.2 kB | | 77291a38 |
| es_speaker_9_semantic_prompt.npy | 2.31 kB | | e78d2e53 |
| fr_speaker_0_coarse_prompt.npy | 9.07 kB | | 9b0588b3 |
| fr_speaker_0_fine_prompt.npy | 18 kB | | 18c6b916 |
| fr_speaker_0_semantic_prompt.npy | 3.1 kB | | 231e7fa0 |
| fr_speaker_1_coarse_prompt.npy | 8.69 kB | | a21ba296 |
| fr_speaker_1_fine_prompt.npy | 17.2 kB | | 52aee298 |
| fr_speaker_1_semantic_prompt.npy | 2.98 kB | | de202690 |
| fr_speaker_2_coarse_prompt.npy | 15.2 kB | | 8548ad95 |
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