# | uttid | text | ref |
baseline
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json data_meta: null exp_name: yt4_bad_text_proba lang: en meta: basket_generation_config: basket_lang: en basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json batch_size: 1 gpus: 2 inference: diff_k: 3 diff_steps: 100 exp: /mount/s3/tts-binary-data-nb/slave/exp/yt4_bad_text_proba/ gpt_generate_args: do_sample: true num_return_sequences: 50 use_cache: true override_conditioning_features: bad_text_proba: 0.0 c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - demucs - deepfilternet num_workers: 1 output_dir: es_en_mapping/yt4_bad_text_proba__2025-01-10_07-23-40 ticket: QUALITY-41 basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e model_data_type: tts-cloning ticket: QUALITY-41 version: 2025-01-10_07-23-40 |
en-us
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json data_meta: null exp_name: yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5 lang: en-us meta: basket_generation_config: basket_lang: en-us basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json batch_size: 1 gpus: 2 inference: diff_k: 3 diff_steps: 100 exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5/ gpt_generate_args: do_sample: true num_return_sequences: 50 use_cache: true override_conditioning_features: bad_text_proba: 0.0 c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - demucs - deepfilternet num_workers: 1 output_dir: es_en_mapping/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5__2025-01-10_07-12-32 ticket: QUALITY-41 basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e model_data_type: tts-cloning ticket: QUALITY-41 version: 2025-01-10_07-12-32 |
en-gb
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json data_meta: null exp_name: yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5 lang: en-gb meta: basket_generation_config: basket_lang: en-gb basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json batch_size: 1 gpus: 2 inference: diff_k: 3 diff_steps: 100 exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5/ gpt_generate_args: do_sample: true num_return_sequences: 50 use_cache: true override_conditioning_features: bad_text_proba: 0.0 c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - demucs - deepfilternet num_workers: 1 output_dir: es_en_mapping/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5__2025-01-10_08-50-49 ticket: QUALITY-41 basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e model_data_type: tts-cloning ticket: QUALITY-41 version: 2025-01-10_08-50-49 |
en-us-cfg-en-in
basket_config_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json data_meta: null exp_name: yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5 lang: en-us meta: basket_generation_config: basket_lang: en-us basket_path: quality/tts/tortoise-baskets/es_en_mapping_1000.json batch_size: 1 gpus: 2 inference: diff_k: 3 diff_steps: 100 exp: /mount/s3/tts-binary-data-nb/eg/exp/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5/ gpt_generate_args: cfg_scale: 3 do_sample: true negative_lang: en-in num_return_sequences: 50 use_cache: false override_conditioning_features: bad_text_proba: 0.0 c50: 0.0 pitch_std: 100.0 snr: 100.0 reranking_options: mode: MBR top_k: 1 vocoder: bigvgan voice_samples_preprocessing: - demucs - deepfilternet num_workers: 1 output_dir: es_en_mapping/yt4_consistency_esesla_3_enusgbcainau_entropy0.1_t5__2025-01-13_11-23-57 ticket: QUALITY-41 basket_generation_git_hash: 6f6cb768a4ef7425185fdde6d1a4eac9371eb37e model_data_type: tts-cloning ticket: QUALITY-41 version: 2025-01-13_11-23-57 |
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120
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TEDX_F_017/TEDX_F_017_SPA_0008
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and see it and find the aspect they like the most about it that they like the most.
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121
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TEDX_F_008/TEDX_F_008_SPA_0018
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art, culture and sport seemed to me to be the right answer and it still seems so to me
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122
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5Ln6XFAv1sw_001/6b1341f6
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In addition, Sharp commented that he "had been forced to do so at gunpoint."
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123
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qbaByMHJs3w_004/a7cd43e4
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That would be my message.
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124
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JNEI3Y3ly6c_001/4b91cea1
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Before we take a look at our second example, let's verify this graphically.
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125
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CjL6uRIGTYo_001/45e50123
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He says he will be with Yaman no matter what.
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126
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x7QX6rKXxzE_001/c6606205
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Now the positive aspects it has.
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127
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dRwEtYVbSUM_001/07a4dac1
|
Your father seems like a responsible man.
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128
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8630/d2720cc2
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They both looked at each other with an expression that could have been one of horror, if a mensu were not perfectly cured of that discomfort.
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129
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x7QX6rKXxzE_001/689fe9a8
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The highest divinities that are even above mictlan.
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130
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TEDX_M_090/TEDX_M_090_SPA_0018
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in the sustenance of our lives also not only do we handle the image but also the sound is something
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131
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TEDX_M_017/TEDX_M_017_SPA_0014
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caterpillar and butterfly but what actually happens in nature is much more interesting and above all more real.
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132
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TEDX_M_018/TEDX_M_018_SPA_0012
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how to be artists how to do childish things how to make mischief how to break the rules how to be crazy i.e. i come dressed like that today
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133
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TEDX_F_017/TEDX_F_017_SPA_0033
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they are united by the same passion that made them join your team.
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134
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86mtftVVj9k_001/b6160e21
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It means that for the next 10 years our catwalk is probably already cheaper.
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135
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sOAaqb_bdUQ_001/d7b7ea3c
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What many people look for in this promenade is simply to take a quiet stroll and have a drink in a terrace or cafe.
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136
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TEDX_M_089/TEDX_M_089_SPA_0020
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where they were able to fit me with a prosthesis and I started walking again.
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137
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TEDX_M_051/TEDX_M_051_SPA_0004
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and people talk to you openly from their hearts about what nature means to them.
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138
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10367/6f59376a
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and by his wound we were healed.
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139
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TEDX_M_017/TEDX_M_017_SPA_0019
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special cells they will no longer multiply they will not grow as long as the rest of it
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