# | uttid | text | ref |
es-ES
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json data_meta: null exp_name: yt4_esesla_3_entropy0.1_t5 lang: es-es meta: basket_generation_config: basket_lang: es-es basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json batch_size: 4 gpus: 1 inference: condition_sample_rate: 24000 diff_steps: 400 duplicate_reference: true exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_esesla_3_entropy0.1_t5/ gpt_generate_args: do_sample: true num_return_sequences: 50 override_conditioning_features: c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - deepfilternet num_workers: 1 output_dir: en_es_mapping/yt4_esesla_3_entropy0.1_t5__2024-11-07_12-00-02 ticket: QUALITY-41 basket_generation_git_hash: 8efdb9b2223525b8a4b3e950fa2130712c0796b6 model_data_type: tts-cloning ticket: QUALITY-41 version: 2024-11-07_12-00-02 |
es-MX
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json data_meta: null exp_name: yt4_esesla_3_entropy0.1_t5 lang: es-mx meta: basket_generation_config: basket_lang: es-mx basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json batch_size: 4 gpus: 1 inference: condition_sample_rate: 24000 diff_steps: 400 duplicate_reference: true exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_esesla_3_entropy0.1_t5/ gpt_generate_args: do_sample: true num_return_sequences: 50 override_conditioning_features: c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - deepfilternet num_workers: 1 output_dir: en_es_mapping/yt4_esesla_3_entropy0.1_t5__2024-11-07_14-55-41 ticket: QUALITY-41 basket_generation_git_hash: 8efdb9b2223525b8a4b3e950fa2130712c0796b6 model_data_type: tts-cloning ticket: QUALITY-41 version: 2024-11-07_14-55-41 |
es-AR
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json data_meta: null exp_name: yt4_esesla_3_entropy0.1_t5 lang: es-ar meta: basket_generation_config: basket_lang: es-ar basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json batch_size: 4 gpus: 1 inference: condition_sample_rate: 24000 diff_steps: 400 duplicate_reference: true exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_esesla_3_entropy0.1_t5/ gpt_generate_args: do_sample: true num_return_sequences: 50 use_cache: true override_conditioning_features: c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - demucs - deepfilternet num_workers: 1 output_dir: en_es_mapping/yt4_esesla_3_entropy0.1_t5__2024-11-04_13-45-09 ticket: QUALITY-41 basket_generation_git_hash: 8efdb9b2223525b8a4b3e950fa2130712c0796b6 model_data_type: tts-cloning ticket: QUALITY-41 version: 2024-11-04_13-45-09 |
es-US
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json data_meta: null exp_name: yt4_esesla_3_entropy0.1_t5 lang: es-us meta: basket_generation_config: basket_lang: es-us basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000_24Khz.json batch_size: 4 gpus: 1 inference: condition_sample_rate: 24000 diff_steps: 400 duplicate_reference: true exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_esesla_3_entropy0.1_t5/ gpt_generate_args: do_sample: true num_return_sequences: 50 override_conditioning_features: c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - deepfilternet num_workers: 1 output_dir: en_es_mapping/yt4_esesla_3_entropy0.1_t5__2024-11-07_17-52-10 ticket: QUALITY-41 basket_generation_git_hash: 8efdb9b2223525b8a4b3e950fa2130712c0796b6 model_data_type: tts-cloning ticket: QUALITY-41 version: 2024-11-07_17-52-10 |
---|---|---|---|---|---|---|---|
1600
|
DRtXJ2ih0AI_001/6e8148cb_24Khz
|
||||||
1601
|
i_107DxLHvE_001/24234ee7
|
Entonces, estos son los 3 tipos de fallas y sus características.
|
|||||
1602
|
Cnkmuwcaeuk_001/6cf9768c_24Khz
|
||||||
1603
|
UxxvJldAt9o_001/e8803f14
|
||||||
1604
|
vUzxViPfNcY_001/cac629dc
|
Entraremos allí y, mientras inyectamos, sacaremos esa aguja.
|
|||||
1605
|
r7e5rhVXaCg_001/7e71697d_24Khz
|
||||||
1606
|
-DnkFcR6vrc_001/7f9c97ca
|
||||||
1607
|
Aem7LMLEWes_001/b780766a
|
||||||
1608
|
7snYoNLkxcY_001/f4214d2c
|
Altavoces externos allí.
|
|||||
1609
|
O514d76Hqls_001/fda7a8d2
|
||||||
1610
|
nFSNYchO9mw_001/04c576ed
|
||||||
1611
|
SO9KnCbBNeY_001/113e52a8
|
Cuadrémoslo y veamos qué porcentaje obtenemos.
|
|||||
1612
|
BoAU6fkv0dg_001/b25724e9
|
||||||
1613
|
TIMILi4ifY4_001/030dc9bc
|
||||||
1614
|
7ucdqr42B0g_001/d9fe585e_24Khz
|
||||||
1615
|
AdJqgKJgS30_001/335f0585_24Khz
|
||||||
1616
|
7ucdqr42B0g_001/0c01aa51_24Khz
|
||||||
1617
|
DAzDSBKSeBM_001/86f7a23a
|
||||||
1618
|
5uYS80fE4NM_001/6fd9ed4c_24Khz
|
||||||
1619
|
tgvSpNSj6qw_001/857e97de
|