| # | uttid | text |
yt4_diff_reprod_pretrained_4gpu
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_diff_reprod_pretrained_4gpu
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 1
inference:
diff_steps: 400
exp: /home/polovick/v2v_diff/ml/projects/ai-voice-cloning/infer_models/yt4_diff_reprod_pretrained_4gpu/
gpt_generate_args:
do_sample: true
num_return_sequences: 50
use_cache: true
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: bigvgan
num_workers: 1
output_dir: generations/bigvgan_mels/yt4_diff_reprod_pretrained_4gpu__2024-09-06_17-13-50
ticket: TTS-XXX
basket_generation_git_hash: 4b584eba41caae1e11b37398e1fb4735c738d319
model_data_type: tts-cloning
ticket: TTS-XXX
version: 2024-09-06_17-13-50
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yt4_diff_reprod_2gpu
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_diff_reprod_2gpu
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 1
inference:
diff_steps: 400
exp: /home/polovick/v2v_diff/ml/projects/ai-voice-cloning/infer_models/yt4_diff_reprod_2gpu/
gpt_generate_args:
do_sample: true
num_return_sequences: 50
use_cache: true
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: bigvgan
num_workers: 1
output_dir: generations/bigvgan_mels/yt4_diff_reprod_2gpu__2024-09-04_09-02-49
ticket: TTS-XXX
basket_generation_git_hash: ac810e12dd2f00ed008485b8042e25e76df2b27d
model_data_type: tts-cloning
ticket: TTS-XXX
version: 2024-09-04_09-02-49
|
yt4_baseline_lats_gpt_fp32_bigvgan_voc
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
data_meta: null
exp_name: yt4_baseline_lats
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json
batch_size: 1
gpus: 1
inference:
diff_steps: 400
exp: yt4_baseline_lats/
gpt_generate_args:
do_sample: true
num_return_sequences: 50
use_cache: true
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: bigvgan
num_workers: 1
output_dir: generations/yt4_bigvgan_mels/yt4_baseline_lats__2024-08-30_04-00-11
ticket: TTS-XXX
basket_generation_git_hash: ade19a69d75d9a96620ebb848f504a2fe677e47d
model_data_type: tts-cloning
ticket: TTS-XXX
version: 2024-08-30_04-00-11
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iKJXSUvJ6MA_001/923ac3d7
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Note that practically half of the 40% is VAT and the other half is income tax.
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241
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we5AbF-6_xg_001/1b44833b
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In contrast, the planet Mandalore has a long and complex history.
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242
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TEDX_F_032/TEDX_F_032_SPA_0013
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starting with the present we are living now, the first time I stepped on stage was in front of five thousand people.
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243
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z1JOxVju4zI_001/189f2eea
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I am putting the address.
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244
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77f1QS_SgwA_001/7350ddca
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So that's what I can talk about my musical background, briefly.
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245
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TEDX_M_089/TEDX_M_089_SPA_0019
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she didn't give up she knew we could find something else and if we looked hard enough we found a place.
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246
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Xdx0wUeDaD8_001/14d1aecf
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Yes, we're not kidding.
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247
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lSXfoII9I5s_001/0c7328ad
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If you have any questions, feel free to ask in the comments and we will respond as soon as possible.
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248
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UPypFJM31Aw_001/070ff349
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Let's take a look at it.
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249
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TEDX_F_034/TEDX_F_034_SPA_0013
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I like to observe before speaking and above all, before giving my opinion, it is necessary to investigate the data, the figures and the numbers.
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250
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TEDX_M_100/TEDX_M_100_SPA_0007
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restricted from visiting the intensive care unit my father had fallen ill and we were only allowed in one at a time.
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251
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WQ4-EnVkWT4_001/b6ade403
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Every day, between 1,000 and 2,000 people move to Dhaka; an estimated 90 percent of the total internal migration.
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252
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TEDX_F_015/TEDX_F_015_SPA_0007
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nor my sister but there was something I could do to get to work.
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253
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TEDX_M_041/TEDX_M_041_SPA_0003
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the story the story of the last twenty-five years of my life when we started omnilife
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254
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CIaSavesB5U_001/a08840c1
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So the first thing to do is that you need to cut down on refined carbohydrates.
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255
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TEDX_M_032/TEDX_M_032_SPA_0017
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in this program we are challenged with another initiative, a lawyers' initiative.
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256
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we5AbF-6_xg_001/71322025
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Leia Organa is busy serving in the Galactic Senate.
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257
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At67Oh_rxPI_001/f726055b
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What he is saying is pay attention because cassette math is a little more difficult.
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258
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TEDX_M_080/TEDX_M_080_SPA_0011
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because you managed to surpass yourself because you managed with that work to surpass yourself and communicate something much more
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259
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TEDX_M_073/TEDX_M_073_SPA_0019
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what kind of university where the essence of this dialogue and interaction is enhanced by technology and enriched by technology?
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