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# text 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
encodec-mbd-deepfilter 
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
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
      exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1_encodec-opt-bigbatch
      gpt_generate_args:
        do_sample: true
        num_return_sequences: 50
        prefix_allowed_tokens_fn: encodec_interleaved_layers
        repetition_penalty_span: 50.0
        use_cache: true
      out_sample_rate: 48000
      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: none
    num_workers: 1
    output_dir: es_en_clean-dsat_mapping_encodec_mbrlat_override_optimizeloudness/yt4_langbycond_revgrad1_encodec-opt-bigbatch__2024-08-02_21-19-11
    ticket: TTS-393
  basket_generation_git_hash: d08a0646348d6df7a31c83dcc4b538e99d6d65db
model_data_type: tts-cloning
ticket: TTS-393
version: 2024-08-02_21-19-11
encodec-inhousediff 
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
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
      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_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_override_optimizeloudness_inhdiff/yt4_langbycond_revgrad1_encodec-opt-bigbatch-diffcodes__2024-08-02_14-16-04
    ticket: TTS-393
  basket_generation_git_hash: d08a0646348d6df7a31c83dcc4b538e99d6d65db
model_data_type: tts-cloning
ticket: TTS-393
version: 2024-08-02_14-16-04
660
And you will not be associated with corruption.
661
That's not my style, but how conservative you came out?
662
I read a lot.
663
I will just stop mentioning everything that has to do with my organization.
664
I'll take care of suing you to the CIA presidency.
665
Hey, you're 60 mateño.
666
How so?
667
No, no, where are you from?
668
No veliz?
669
Yes.
670
Your face becomes familiar to me.
671
be very good in bed, you must be very rich.
672
And you finish And don't touch me.
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.
677
What happened?
678
Why are they selling it?
679
As it turns out, they are drowning in debt, but the riding school has a very good reputation and a very good clientele.
680
Well, that's the best there is in the equestrian world.
681
It brings a lot of money.
682
Budgets and expenses are, to look at, very easy to manage or inflate.
683
I assure you.
684
felina, you're so heavy, we haven't even bought and you're thinking about how you're going to launder money.
685
Well, my love, if you are near me.
686
You're going to learn to have money to spare for when you really need it, aren't you?
687
We are going to make these people concrete and make a good offer.
688
It seems.
689
We will continue.
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