| # | uttid | text | reference |
gpt_yt3_es_noisefeats
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000.json
data_meta: null
exp_name: gpt_yt3_es_noisefeats
lang: es
meta:
basket_generation_config:
basket_lang: es
basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000.json
batch_size: 2
gpus: 1
inference:
diff_steps: 400
exp: /mount/s3/tts-binary-data-nb/eg/exp/gpt_yt3_es_noisefeats/
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: univnet
num_workers: 1
output_dir: en_es_mapping/gpt_yt3_es_noisefeats__2024-05-27_14-44-24
ticket: QUALITY-41
basket_generation_git_hash: 71a8145b02c397bad9d539a5e9de4f14ce1bbd77
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2024-05-27_14-44-24
|
yt3es_noise_feats_augs
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000.json
data_meta: null
exp_name: yt3es_noise_feats_augs
lang: es
meta:
basket_generation_config:
basket_lang: es
basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000.json
batch_size: 4
gpus: 1
inference:
diff_steps: 400
exp: /mount/s3/tts-binary-data-nb/eg/exp/yt3es_noise_feats_augs/
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: univnet
num_workers: 1
output_dir: en_es_mapping/yt3es_noise_feats_augs__2024-05-27_14-31-10
ticket: QUALITY-41
basket_generation_git_hash: 71a8145b02c397bad9d539a5e9de4f14ce1bbd77
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2024-05-27_14-31-10
|
yt3es_noise_feats_augs100
basket_config_path: quality/tts/tortoise-baskets/en_es_mapping_1000.json
data_meta: null
exp_name: yt3es_noise_feats_augs100
lang: es
meta:
basket_generation_config:
basket_lang: es
basket_path: quality/tts/tortoise-baskets/en_es_mapping_1000.json
batch_size: 4
gpus: 1
inference:
diff_steps: 400
exp: /mount/s3/tts-binary-data-nb/eg/exp/yt3es_noise_feats_augs100/
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: univnet
num_workers: 1
output_dir: en_es_mapping/yt3es_noise_feats_augs100__2024-05-27_14-31-12
ticket: QUALITY-41
basket_generation_git_hash: 71a8145b02c397bad9d539a5e9de4f14ce1bbd77
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2024-05-27_14-31-12
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120
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BoAU6fkv0dg_001/78a6cf4c
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Para asegurarse de que estén perfectamente alineados... hay una opción aquí que dice Alinear.
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121
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tTFPa4ub4Aw_001/7c5c0e9b
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Esa iba a ser mi pregunta de seguimiento.
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122
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6EhWN5Pk5qM_001/f02f96f2
|
Ahora voy a seguir adelante y presionar Guardar.
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|
123
|
vUzxViPfNcY_001/5f30b5c3
|
Entonces, es hora de envasar la carne de cerdo.
|
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|
124
|
R_HbiOV3_7c_001/9ff9c13e
|
Nos lo ha dado todo.
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|
125
|
9PSW2HI3Kng_001/05f89a4e
|
Vaya, ahí está Saúl quien desarrolló eso de una manera increíble en este escenario del Antiguo Testamento.
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126
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y6jOzSdTtjI_002/e40fe51f
|
Estamos contando los días para Navidad.
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|
127
|
ZIQSvaufDC8_001/7d82e34d
|
Y la mayoría de la gente está en el medio.
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128
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A4hPsqqQ8vk_001/fd4bb4e4
|
Y la gente seguirá comprando estas casas en masa.
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129
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SO9KnCbBNeY_001/b8f6b0c0
|
Así que echemos un vistazo a eso aquí.
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