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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
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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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480
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I can travel, have powerful men, but I-I want my life back.
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481
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What about that coin, then?
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482
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I...
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483
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I needed you to come here to me.
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484
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That's why I left you that coin.
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485
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You are the only person who can help me, Katherine.
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|
486
|
We can stop this.
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|
487
|
Can we do this again?
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|
488
|
No, no, no phones.
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|
489
|
Only you can help me.
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|
490
|
I...would like to... I'm trying....
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491
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Really, I would like to...
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|
492
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Sorry.
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|
493
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Excuse me, is Katherine in there?
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494
|
Look, I'm sorry.
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|
495
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I just want to know if you're okay, okay?
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496
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What does he know?
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|
497
|
Huh?
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|
498
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Nothing, nothing.
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|
499
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You don't have to do anything.
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|
500
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Clear?
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501
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I don't want to involve anyone, but if I have to, I will.
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502
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He doesn't know anything, I swear.
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503
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He just saw the note.
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504
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Cat, please tell me something.
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505
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However, if he doesn't hear from me, he will know that something is wrong.
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506
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You will not tell her anything.
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507
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No, no!
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508
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You won't have to tell her I have to run, you won't have to tell about the police, you won't have to say anything.
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509
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No no no, I swear to you, I swear to you.
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