| # | uttid | 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-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
|
xcodec160k_1code_inhdiff20k
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: 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_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__2024-10-02_15-50-47
ticket: TTS-393
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-393
version: 2024-10-02_15-50-47
|
wavtokeniser
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc
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
exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc
gpt_generate_args:
do_sample: true
num_return_sequences: 50
repetition_penalty_activation_span: 1.0
repetition_penalty_span: 100.0
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: none
num_workers: 1
output_dir: es_en_clean-dsat_mapping_xcodec_mbrlat_codecdec/yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc__2024-10-29_09-42-52
ticket: TTS-392
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-392
version: 2024-10-29_09-42-52
|
wavtokeniser_normloud
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc
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
exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc
force_reference_std: -23
gpt_generate_args:
do_sample: true
num_return_sequences: 50
repetition_penalty_activation_span: 1.0
repetition_penalty_span: 100.0
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: none
num_workers: 1
output_dir: es_en_clean-dsat_mapping_xcodec_mbrlat_codecdec/yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc__2024-10-29_09-58-08
ticket: TTS-392
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-392
version: 2024-10-29_09-58-08
|
wavtokeniser_normloud_lesspenalty
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_cleared_721.json
data_meta: null
exp_name: yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc
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
exp: /mount/s3/tts-binary-data-nb/dimdi-y/yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc
force_reference_std: -23
gpt_generate_args:
do_sample: true
num_return_sequences: 50
repetition_penalty: 1.5
repetition_penalty_activation_span: 5.0
repetition_penalty_span: 100.0
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: none
num_workers: 1
output_dir: es_en_clean-dsat_mapping_xcodec_mbrlat_codecdec/yt4_langbycond_revgrad1_wavtokenizer-opt-bigbatch_t5enc__2024-10-29_13-45-07
ticket: TTS-392
basket_generation_git_hash: 75e464c6d886d92ef5b904f41695658ca2bc7545
model_data_type: tts-cloning
ticket: TTS-392
version: 2024-10-29_13-45-07
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30
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bardot_fr_M0/bardot_fr_M0_0030
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A war film, and a comedy.
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31
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bardot_fr_M0/bardot_fr_M0_0031
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It's not done very often, is it?
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32
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bardot_fr_M0/bardot_fr_M0_0032
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And it will be Bardot's first film for the general public.
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|
33
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bardot_fr_M0/bardot_fr_M0_0033
|
Children are important!
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34
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bardot_fr_M0/bardot_fr_M0_0034
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In fact, my Marco Polo will also be for children.
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35
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bardot_fr_M1/bardot_fr_M1_0035
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On television the other day, you said that Brigitte Bardot was now more famous than the Mona Lisa.
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36
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bardot_fr_M0/bardot_fr_M0_0036
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I'm not going to believe everything I've invented about this girl!
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37
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bardot_fr_M0/bardot_fr_M0_0037
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You know, my little Jean?
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38
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bardot_fr_M0/bardot_fr_M0_0038
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Television scares me.
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39
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bardot_fr_M0/bardot_fr_M0_0039
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Television is going to kill cinema.
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40
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bardot_fr_M0/bardot_fr_M0_0040
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You'll see bullfighting the day there are five TV channels and viewers can turn a knob and choose!
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41
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bardot_fr_M0/bardot_fr_M0_0041
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Did I tell you that I bought the rights to Zazie dans le métro from Gallimard?
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||||||
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42
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bardot_fr_M0/bardot_fr_M0_0042
|
Queneau asked me for a fortune!
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43
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bardot_fr_M1/bardot_fr_M1_0043
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Is money important to you?
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44
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bardot_fr_M0/bardot_fr_M0_0044
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I hate two things: being asked and being refused.
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45
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bardot_fr_M0/bardot_fr_M0_0045
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Ciao ragazzo!
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46
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bardot_fr_M5/bardot_fr_M5_0046
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Ciao, Raoul.
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47
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bardot_fr_M0/bardot_fr_M0_0047
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Dino, this is Jean Cau.
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48
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bardot_fr_M0/bardot_fr_M0_0048
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He investigates the art of swindling.
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49
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bardot_fr_M0/bardot_fr_M0_0049
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Within the bounds of legality!
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||||||
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50
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bardot_fr_M1/bardot_fr_M1_0050
|
This afternoon I sent for the photographer.
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||||||
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51
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bardot_fr_M0/bardot_fr_M0_0051
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This afternoon I'm going to the dentist, it's the only place where I can rest...
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52
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bardot_fr_M3/bardot_fr_M3_0052
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Hello Mr Levy, it's rolling...
|
||||||
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53
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bardot_fr_M0/bardot_fr_M0_0053
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Hello !
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||||||
|
54
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bardot_fr_M2/bardot_fr_M2_0054
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Why are you so nice?
|
||||||
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55
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bardot_fr_F1/bardot_fr_F1_0055
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Because nobody's ever been this nice to me...
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||||||
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56
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bardot_fr_M2/bardot_fr_M2_0056
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Not even the boys?
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57
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bardot_fr_M4/bardot_fr_M4_0057
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Cut!
|
||||||
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58
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bardot_fr_M3/bardot_fr_M3_0058
|
That's it, thank you!
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59
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bardot_fr_M0/bardot_fr_M0_0059
|
This is Jan Cau, Sartre's secretary.
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