| # | 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
|
|---|---|---|---|---|---|---|
|
880
|
vUzxViPfNcY_001/8bfaf370
|
Voy a romper eso con mis pulgares... a separarlo porque es muy grande.
|
||||
|
881
|
N1gZm6lMgYE_001/5108f76d
|
Y como practicantes, tenemos muy pocas experiencias.
|
||||
|
882
|
BoAU6fkv0dg_001/b1ff70dc
|
Así que ahora los tengo aproximadamente en la posición.
|
||||
|
883
|
NUBZv4zMOwg_001/b2e5f34f
|
No cuestiona su fe ni su comprensión.
|
||||
|
884
|
y6jOzSdTtjI_002/b17eba41
|
Mucha gente realmente quiere que los hagamos en el canal de YouTube.
|
||||
|
885
|
MpJ883uplYU_001/ebde27ed
|
No se necesita niñera, ni planificación con mucha anticipación ni en múltiples calendarios.
|
||||
|
886
|
ooXuYlYu6pU_001/3b83b24c
|
Abigail obedece y le da la oportunidad.
|
||||
|
887
|
hXMquh9YQUM_001/1995d58f
|
Los jardines digitales son un modelo que podría resultar útil en diversos contextos.
|
||||
|
888
|
N1gZm6lMgYE_001/69cde40e
|
Entonces no sabes hacia dónde va esa arteria principal.
|
||||
|
889
|
Je8YcXQhaT4_001/62a1525f
|
Ármate de conocimiento.
|