# | 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-mbd-deepfilter
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 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 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 out_sample_rate: 48000 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: none num_workers: 1 output_dir: es_en_clean-dsat_mapping_encodec_mbrlat_override_optimizeloudness/yt4_langbycond_revgrad1_encodec-opt-bigbatch__2024-08-02_21-19-11 ticket: TTS-393 basket_generation_git_hash: d08a0646348d6df7a31c83dcc4b538e99d6d65db model_data_type: tts-cloning ticket: TTS-393 version: 2024-08-02_21-19-11 |
encodec-inhousediff
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 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 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_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_override_optimizeloudness_inhdiff/yt4_langbycond_revgrad1_encodec-opt-bigbatch-diffcodes__2024-08-02_14-16-04 ticket: TTS-393 basket_generation_git_hash: d08a0646348d6df7a31c83dcc4b538e99d6d65db model_data_type: tts-cloning ticket: TTS-393 version: 2024-08-02_14-16-04 |
---|---|---|---|---|
150
|
A French comrade.
|
|||
151
|
Pleased to meet you.
|
|||
152
|
Enchanté
|
|||
153
|
And this bearded man is Albert, who is a contortionist in the circus.
|
|||
154
|
He is an English journalist.
|
|||
155
|
Enchanté, delighted.
|
|||
156
|
Likewise.
|
|||
157
|
Well no... we didn't see each other yesterday.
|
|||
158
|
Is it true?
|
|||
159
|
No.
|
|||
160
|
How did you like my speech?
|
|||
161
|
Well, a little too much...
|
|||
162
|
I want too much!
|
|||
163
|
Especially at the end. But...
|
|||
164
|
Well... she wrote it.
|
|||
165
|
Sorry, no, joke!
|
|||
166
|
It was great! Really!
|
|||
167
|
It's great!
|
|||
168
|
First results.
|
|||
169
|
Yes, let's go, let's go!
|
|||
170
|
Are you coming?
|
|||
171
|
Yes.
|
|||
172
|
It looks like we are going to win.
|
|||
173
|
What's the matter, aren't you happy?
|
|||
174
|
When are you leaving?
|
|||
175
|
The day after tomorrow.
|
|||
176
|
I am taking a train to Paris and from there... to Buenos Aires.
|
|||
177
|
What am I going to do?
|
|||
178
|
What?
|
|||
179
|
What am I going to do?
|