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baseline
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_baseline_lats
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: /home/polovick/v2v_diff/ml/projects/ai-voice-cloning/dsat-basket-extended-refs-dur.json
batch_size: 1
gpus: 2
inference:
diff_steps: 400
exp: /home/polovick/v2v_diff/ml/projects/ai-voice-cloning/yt4_baseline_lats
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
target_len_rate: 0.75
vocoder: univnet
num_workers: 1
output_dir: dsat-cleared/yt4_baseline_lats__2024-07-30_03-28-45
ticket: QUALITY-54
basket_generation_git_hash: e0df79f1213deffbae77e909499694944e0746da
model_data_type: tts-cloning
ticket: QUALITY-54
version: 2024-07-30_03-28-45
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encodec-inhousediff-sameinfer
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_langbycond_revgrad1_encodec-opt-bigbatch-diffcodes__diff_nonorm_2codes_pretrained
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
batch_size: 1
gpus: 1
inference:
condition_sample_rate: 24000
diff_on_codes: false
diff_steps: 400
diffusion_exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1-contrastive_encodec-opt-bigbatch_normloudness_delaypattern8/diff_nonorm_2codes_pretrained
exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1_encodec-opt-bigbatch-diffcodes
gpt_generate_args:
do_sample: true
num_return_sequences: 50
prefix_allowed_tokens_fn: encodec_interleaved_layers
repetition_penalty_activation_span: 4.0
repetition_penalty_span: 50.0
use_cache: true
out_sample_rate: 24000
override_conditioning_features:
c50: 0.0
pitch_std: 100.0
snr: 100.0
reranking_options:
cdist_time_downsampling_factor: 2
mode: MBR
sakoe_chiba_radius: 24
top_k: 1
vocoder: bigvgan
num_workers: 1
output_dir: es_en_clean-dsat_mapping_encodec_mbrlat_inhdiff/yt4_langbycond_revgrad1_encodec-opt-bigbatch-diffcodes__diff_nonorm_2codes_pretrained__2024-09-18_17-36-55
ticket: TTS-393
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-393
version: 2024-09-18_17-36-55
|
encodec16k-inhousediffpretrained-mbrlat-normloudtrain70k-difflearnedembs10k
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_langbycond_revgrad1-contrastive_encodec16k-opt-bigbatch_normloud_noclip__diffusion_yt4_encodec16k_2codes_trainembs
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
batch_size: 1
gpus: 1
inference:
condition_sample_rate: 24000
diff_on_codes: true
diff_steps: 400
diffusion_exp: /mount/s3/tts-binary-data-nb/dimdi-y/diffusion_yt4_encodec16k_2codes_trainembs
exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1-contrastive_encodec16k-opt-bigbatch_normloud_noclip
force_reference_std: -21.5
gpt_generate_args:
do_sample: true
num_return_sequences: 50
prefix_allowed_tokens_fn: encodec_interleaved_layers
repetition_penalty_activation_span: 4.0
repetition_penalty_span: 50.0
use_cache: true
out_sample_rate: 24000
override_conditioning_features:
c50: 0.0
pitch_std: 100.0
snr: 100.0
reranking_options:
mode: MBR
sakoe_chiba_radius: 24
top_k: 1
vocoder: bigvgan
num_workers: 1
output_dir: es_en_clean-dsat_mapping_encodec_mbrlat_inhdiff/yt4_langbycond_revgrad1-contrastive_encodec16k-opt-bigbatch_normloud_noclip__diffusion_yt4_encodec16k_2codes_trainembs__2024-09-26_09-03-22
ticket: TTS-393
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-393
version: 2024-09-26_09-03-22
|
xcodec_inhdiff
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_langbycond_revgrad1_xcodec-opt-bigbatch__diffusion_yt4_xcodec
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
batch_size: 1
gpus: 4
inference:
condition_sample_rate: 24000
diff_on_codes: true
diff_steps: 400
diffusion_exp: /mount/s3/tts-binary-data-nb/dimdi-y/diffusion_yt4_xcodec
exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1_xcodec-opt-bigbatch
gpt_generate_args:
do_sample: true
num_return_sequences: 50
repetition_penalty_activation_span: 4.0
repetition_penalty_span: 50.0
use_cache: true
out_sample_rate: 24000
override_conditioning_features:
c50: 0.0
pitch_std: 100.0
snr: 100.0
reranking_options:
mode: MBR
sakoe_chiba_radius: 16
top_k: 1
vocoder: bigvgan
num_workers: 1
output_dir: es_en_clean-dsat_mapping_xcodec_mbrlat_inhdiff/yt4_langbycond_revgrad1_xcodec-opt-bigbatch__diffusion_yt4_xcodec__2024-09-30_10-49-06
ticket: TTS-393
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-393
version: 2024-09-30_10-49-06
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660
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And you will not be associated with corruption.
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661
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That's not my style, but how conservative you came out?
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662
|
I read a lot.
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663
|
I will just stop mentioning everything that has to do with my organization.
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664
|
I'll take care of suing you to the CIA presidency.
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|
665
|
Hey, you're 60 mateño.
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|
666
|
How so?
|
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|
667
|
No, no, where are you from?
|
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|
668
|
No veliz?
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|
669
|
Yes.
|
||||
|
670
|
Your face becomes familiar to me.
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|
671
|
be very good in bed, you must be very rich.
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||||
|
672
|
And you finish And don't touch me.
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||||
|
673
|
Listen to the beast.
|
||||
|
674
|
We will see you again.
|
||||
|
675
|
It has a lot of potential, as it is a business that they have taken care of in their soul.
|
||||
|
676
|
Selina, yes I have all the information.
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|
677
|
What happened?
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|
678
|
Why are they selling it?
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||||
|
679
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As it turns out, they are drowning in debt, but the riding school has a very good reputation and a very good clientele.
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|
680
|
Well, that's the best there is in the equestrian world.
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|
681
|
It brings a lot of money.
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|
682
|
Budgets and expenses are, to look at, very easy to manage or inflate.
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683
|
I assure you.
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|
684
|
felina, you're so heavy, we haven't even bought and you're thinking about how you're going to launder money.
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685
|
Well, my love, if you are near me.
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|
686
|
You're going to learn to have money to spare for when you really need it, aren't you?
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|
687
|
We are going to make these people concrete and make a good offer.
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|
688
|
It seems.
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689
|
We will continue.
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