| # | uttid | text | ref |
baseline
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_bad_text_proba
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 2
inference:
diff_k: 3
diff_steps: 100
exp: /mount/s3/tts-binary-data-nb/slave/exp/yt4_bad_text_proba/
gpt_generate_args:
do_sample: true
num_return_sequences: 50
use_cache: true
override_conditioning_features:
bad_text_proba: 0.0
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: es_en_mapping/yt4_bad_text_proba__2025-01-10_07-23-40
ticket: QUALITY-41
basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2025-01-10_07-23-40
|
en-us
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5
lang: en-us
meta:
basket_generation_config:
basket_lang: en-us
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 2
inference:
diff_k: 3
diff_steps: 100
exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5/
gpt_generate_args:
do_sample: true
num_return_sequences: 50
use_cache: true
override_conditioning_features:
bad_text_proba: 0.0
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: es_en_mapping/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5__2025-01-10_07-12-32
ticket: QUALITY-41
basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2025-01-10_07-12-32
|
en-gb
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5
lang: en-gb
meta:
basket_generation_config:
basket_lang: en-gb
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 2
inference:
diff_k: 3
diff_steps: 100
exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5/
gpt_generate_args:
do_sample: true
num_return_sequences: 50
use_cache: true
override_conditioning_features:
bad_text_proba: 0.0
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: es_en_mapping/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5__2025-01-10_08-50-49
ticket: QUALITY-41
basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2025-01-10_08-50-49
|
en-us-cfg-en-in
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5
lang: en-us
meta:
basket_generation_config:
basket_lang: en-us
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 2
inference:
diff_k: 3
diff_steps: 100
exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5/
gpt_generate_args:
cfg_scale: 3
do_sample: true
negative_lang: en-in
num_return_sequences: 50
use_cache: false
override_conditioning_features:
bad_text_proba: 0.0
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: es_en_mapping/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5__2025-01-13_11-23-57
ticket: QUALITY-41
basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e
model_data_type: tts-cloning
ticket: QUALITY-41
version: 2025-01-13_11-23-57
|
|---|---|---|---|---|---|---|---|
|
540
|
sE7ne6tGJYQ_001/142ca610
|
The fleet of the metropolitan transportation system totals nearly 18,000 units.
|
|||||
|
541
|
8630/4b205211
|
They knew, yes, that they had forty pesos in their pockets, and the power to spend much more.
|
|||||
|
542
|
T7R6ApaVI5g_001/4536d61a
|
The trill is the combination of the vibration of your vocal cords and the vibration of your lips.
|
|||||
|
543
|
8630/8eedb7d4
|
On his return to the mountain, he found the steward
|
|||||
|
544
|
we5AbF-6_xg_001/d74ddfd5
|
Favreau made a name for himself in the past directing the hits Swingers and Elf.
|
|||||
|
545
|
KOoQNCtAZWg_001/54204fff
|
Now that you have dusted the baseboards I can explain how to clean them.
|
|||||
|
546
|
TEDX_M_061/TEDX_M_061_SPA_0020
|
and I say I need more and I go for three hundred dollars.
|
|||||
|
547
|
TEDX_M_078/TEDX_M_078_SPA_0013
|
that generate benefits for society instead of reducing them.
|
|||||
|
548
|
PT2m9lkGhvM_001/6d9ca88b
|
And so the network is trained and can perform the function on its own.
|
|||||
|
549
|
we5AbF-6_xg_001/f200eebe
|
But there is more.
|
|||||
|
550
|
TEDX_M_015/TEDX_M_015_SPA_0004
|
I confessed my sins and the priest joined me, causing us not only the creaking of that piece of furniture
|
|||||
|
551
|
TEDX_M_078/TEDX_M_078_SPA_0001
|
I am going to ask you a favor as you have been sitting for many hours and if any of you are tired you may leave.
|
|||||
|
552
|
TEDX_F_023/TEDX_F_023_SPA_0003
|
in the editorial staff of a digital magazine was the job I had always wanted.
|
|||||
|
553
|
TEDX_F_037/TEDX_F_037_SPA_0020
|
well fifteen billion years ago the universe has its origins well
|
|||||
|
554
|
TEDX_F_006/TEDX_F_006_SPA_0002
|
well, the grunt mud technique starts with the earth.
|
|||||
|
555
|
fRoFyRMXYYI_001/277bb4f6
|
Raytracing is already amazing with reflections, real-time dynamic lighting and many other aspects.
|
|||||
|
556
|
TEDX_M_079/TEDX_M_079_SPA_0007
|
and as we stood there waiting for the next subway, a man appeared on the scene.
|
|||||
|
557
|
TEDX_M_039/TEDX_M_039_SPA_0018
|
and then I thought about it for I don't know about five seconds and decided that I was right but the next obstacle was there.
|
|||||
|
558
|
TEDX_F_035/TEDX_F_035_SPA_0001
|
hello good morning my name is karla belinda amezcua i am a designer
|
|||||
|
559
|
bWcbhT5P0yI_001/7469b82b
|
I want to sleep the dream of that boy who wanted to cut his heart out on the high seas.
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