# | text |
baseline
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_704_fixedref.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/projects-bucket-pack.json batch_size: 1 gpus: 2 inference: diff_steps: 400 exp: 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: projects_pack_1/yt4_baseline_lats__2024-06-27_12-43-45 ticket: TTS-388 basket_generation_git_hash: 3ad347e2f731481af82dafbe72aa4daa136f907b model_data_type: tts-cloning ticket: TTS-388 version: 2024-06-27_12-43-45 |
encodec_mbr_dsat
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_704_fixedref.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_704_fixedref.json batch_size: 1 gpus: 2 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 override_conditioning_features: c50: 0.0 snr: 100.0 reranking_options: cdist_time_downsampling_factor: 6 mode: MBR top_k: 1 vocoder: none num_workers: 1 output_dir: es_en_dsat_mapping_encodec_mbrlat_override_optimizeloudness/yt4_langbycond_revgrad1_encodec-opt-bigbatch__2024-07-09_23-56-02 ticket: TTS-393 basket_generation_git_hash: c8fbcc9a0f18330789b7a4441a1efbeea1019935 model_data_type: tts-cloning ticket: TTS-393 version: 2024-07-09_23-56-02 |
encodec_mbr_normloud-contr-oversnr-dfnet
basket_config_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_704_fixedref.json data_meta: null exp_name: yt4_langbycond_revgrad1-contrastive_encodec-opt-bigbatch_normloud lang: en meta: basket_generation_config: basket_lang: en basket_path: quality/tts/tortoise-baskets/dsat_to_en_5projects_704_fixedref.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-contrastive_encodec-opt-bigbatch_normloud/ force_reference_std: -21.5 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: snr: 100.0 reranking_options: cdist_time_downsampling_factor: 6 mode: MBR top_k: 1 vocoder: none num_workers: 1 output_dir: es_en_dsat_mapping_encodec_mbrlat_override_optimizeloudness/yt4_langbycond_revgrad1-contrastive_encodec-opt-bigbatch_normloud__2024-07-14_18-13-45 ticket: TTS-393 basket_generation_git_hash: c8fbcc9a0f18330789b7a4441a1efbeea1019935 model_data_type: tts-cloning ticket: TTS-393 version: 2024-07-14_18-13-45 |
---|---|---|---|---|
150
|
Come!
|
|||
151
|
This is Amelia; she is a friend.
|
|||
152
|
Jean?
|
|||
153
|
A French comrade.
|
|||
154
|
Pleased to meet you.
|
|||
155
|
Enchanté
|
|||
156
|
And this bearded man is Albert, who is a contortionist in the circus.
|
|||
157
|
He is an English journalist.
|
|||
158
|
Enchanté, delighted.
|
|||
159
|
Likewise.
|
|||
160
|
Well no... we didn't see each other yesterday.
|
|||
161
|
Is it true?
|
|||
162
|
No.
|
|||
163
|
How did you like my speech?
|
|||
164
|
Well, a little too much...
|
|||
165
|
I want too much!
|
|||
166
|
Especially at the end. But...
|
|||
167
|
Well... she wrote it.
|
|||
168
|
Sorry, no, joke!
|
|||
169
|
It was great! Really!
|
|||
170
|
It's great!
|
|||
171
|
First results.
|
|||
172
|
Yes, let's go, let's go!
|
|||
173
|
Are you coming?
|
|||
174
|
Yes.
|
|||
175
|
It looks like we are going to win.
|
|||
176
|
Yes?
|
|||
177
|
Yes.
|
|||
178
|
What's the matter, aren't you happy?
|
|||
179
|
When are you leaving?
|