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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
120
What neighborhood am I from?
121
Well, I grew up in the Marqués de Salamanca neighborhood.
122
I told you.
123
My name is Adela.
124
Hello Adela, how are you?
125
Hello.
126
Pleased to meet you.
127
Well, you were working on the accented words, weren't you? The acute ones... There are the acute ones, there are the flat ones...
128
Tell me.
129
And why doesn't Amparo continue?
130
Because... there's been a little change and... and this morning I'm going to stay.
131
But are you a teacher or what?
132
Yes, I am a teacher, I studied teaching.
133
May I have a moment, please?
134
The acute words, the... Please, just a moment... Just a moment... I understand... I understand that you prefer the other teacher because you don't know me at all...
135
I have just arrived.
136
But maybe I can show you something.
137
And I'm sure you can teach me something.
138
A lot.
139
I'm sure it is, I'm sure it is a lot.
140
But what I think is that... we have to do it together.
141
Us and those in the Salamanca neighborhood.
142
Well, be that as it may, I think the most important thing is that we respect each other.
143
Because if we do not respect ourselves, how can we pretend to be respectable to others?
144
I really feel that this way... we can all be much stronger.
145
And... alas...
146
Amelia! Come!
147
Come!
148
This is Amelia; she is a friend.
149
Jean?
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