Numpang commited on
Commit
9dda9c6
1 Parent(s): 84fa6be

Update README.md

Browse files

![11541930791583048.jpg](https://s3.amazonaws.com/moonup/production/uploads/1677367202200-63fa21c16b75d93aa12f1079.jpeg)

![11541930791583048.jpg](https://s3.amazonaws.com/moonup/production/uploads/1677367227864-63fa21c16b75d93aa12f1079.jpeg)

Files changed (1) hide show
  1. README.md +6 -96
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  datasets:
3
- - google/MusicCaps
4
  language:
5
  - ja
6
  tags:
@@ -16,7 +16,7 @@ language:
16
 
17
  ### `megumi/asaoka`
18
 
19
- This model was trained by mio using [amadeus recipe](https://github.com/mio2333/espnet/tree/master/egs2/amadeus/tts1) in [espnet](https://github.com/espnet/espnet/).
20
 
21
 
22
  ### Demo: How to use in ESPnet2
@@ -29,7 +29,7 @@ cd espnet
29
  git checkout d5b5ec7b2e77bd3e10707141818b7e6c57ac6b3f
30
  pip install -e .
31
  cd egs2/megumi/tts1
32
- ./run.sh --skip_data_prep false --skip_train true --download_model mio/amadeus
33
  ```
34
 
35
 
@@ -93,7 +93,7 @@ use_matplotlib: true
93
  use_tensorboard: true
94
  create_graph_in_tensorboard: false
95
  use_wandb: true
96
- wandb_project: amadeus
97
  wandb_id: null
98
  wandb_entity: null
99
  wandb_name: null
@@ -170,88 +170,7 @@ generator_first: false
170
  token_list:
171
  - <blank>
172
  - <unk>
173
- - '1'
174
- - '2'
175
- - '0'
176
- - '3'
177
- - '4'
178
- - '-1'
179
- - '5'
180
- - a
181
- - o
182
- - '-2'
183
- - i
184
- - '-3'
185
- - u
186
- - e
187
- - k
188
- - n
189
- - t
190
- - '6'
191
- - r
192
- - '-4'
193
- - s
194
- - N
195
- - m
196
- - pau
197
- - '7'
198
- - sh
199
- - d
200
- - g
201
- - w
202
- - '8'
203
- - U
204
- - '-5'
205
- - I
206
- - cl
207
- - h
208
- - y
209
- - b
210
- - '9'
211
- - j
212
- - ts
213
- - ch
214
- - '-6'
215
- - z
216
- - p
217
- - '-7'
218
- - f
219
- - ky
220
- - ry
221
- - '-8'
222
- - gy
223
- - '-9'
224
- - hy
225
- - ny
226
- - '-10'
227
- - by
228
- - my
229
- - '-11'
230
- - '-12'
231
- - '-13'
232
- - py
233
- - '-14'
234
- - '-15'
235
- - v
236
- - '10'
237
- - '-16'
238
- - '-17'
239
- - '11'
240
- - '-21'
241
- - '-20'
242
- - '12'
243
- - '-19'
244
- - '13'
245
- - '-18'
246
- - '14'
247
- - dy
248
- - '15'
249
- - ty
250
- - '-22'
251
- - '16'
252
- - '18'
253
- - '19'
254
- - '17'
255
  - <sos/eos>
256
  odim: null
257
  model_conf: {}
@@ -308,15 +227,6 @@ tts_conf:
308
  - 7
309
  - 11
310
  decoder_resblock_dilations:
311
- - - 1
312
- - 3
313
- - 5
314
- - - 1
315
- - 3
316
- - 5
317
- - - 1
318
- - 3
319
- - 5
320
  use_weight_norm_in_decoder: true
321
  posterior_encoder_kernel_size: 5
322
  posterior_encoder_layers: 16
@@ -478,4 +388,4 @@ or arXiv:
478
  archivePrefix={arXiv},
479
  primaryClass={cs.CL}
480
  }
481
- ```
 
1
  ---
2
  datasets:
3
+ - fka/awesome-chatgpt-prompts
4
  language:
5
  - ja
6
  tags:
 
16
 
17
  ### `megumi/asaoka`
18
 
19
+ This model was trained by megumi using [asaoka recipe](https://github.com/mio2333/espnet/tree/master/egs2/amadeus/tts1) in [espnet](https://github.com/espnet/espnet/).
20
 
21
 
22
  ### Demo: How to use in ESPnet2
 
29
  git checkout d5b5ec7b2e77bd3e10707141818b7e6c57ac6b3f
30
  pip install -e .
31
  cd egs2/megumi/tts1
32
+ ./run.sh --skip_data_prep false --skip_train true --download_model megumi/asaoka
33
  ```
34
 
35
 
 
93
  use_tensorboard: true
94
  create_graph_in_tensorboard: false
95
  use_wandb: true
96
+ wandb_project: asaoka
97
  wandb_id: null
98
  wandb_entity: null
99
  wandb_name: null
 
170
  token_list:
171
  - <blank>
172
  - <unk>
173
+ - '
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
174
  - <sos/eos>
175
  odim: null
176
  model_conf: {}
 
227
  - 7
228
  - 11
229
  decoder_resblock_dilations:
 
 
 
 
 
 
 
 
 
230
  use_weight_norm_in_decoder: true
231
  posterior_encoder_kernel_size: 5
232
  posterior_encoder_layers: 16
 
388
  archivePrefix={arXiv},
389
  primaryClass={cs.CL}
390
  }
391
+ ```