| # | 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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130
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vUzxViPfNcY_001/f7fc0bb4
|
Literalmente, simplemente rociándolos con jugo de manzana.
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131
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AdJqgKJgS30_001/08cba1af
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El espíritu es tan positivo, tan optimista y tan saludable.
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132
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GLkbkCDl-Ks_001/efac83ab
|
Obtenemos el resultado de la siguiente manera.
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133
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iaIsNexUfOE_001/212691a8
|
Aquí hay un poco de lo que sé.
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134
|
DECr-Y56Hrc_002/4521bf24
|
Aquellos que aparecen en el programa no necesariamente respaldan mis creencias, sugerencias o consejos ni ninguno de los servicios proporcionados por nuestro patrocinador.
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|
135
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tihtx5AS_k8_001/fe374939
|
Entonces tengo 67 valores que están entre este umbral.
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136
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6exp02l5gpU_001/45d29343
|
Así que hoy mi mamá está aquí.
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137
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woeKjuz6jlM_001/078a6545
|
Y se puede ver ese poquito de tamaño en el estuche.
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138
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DECr-Y56Hrc_001/feb87faa
|
Todos pasan por ese entrenamiento.
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139
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GLkbkCDl-Ks_001/b8140d9a
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La respuesta es que no necesitamos el constructor predeterminado.
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