Hugging Face's logo

Spaces:
qgyd2021
/
cc_audio_8
Running

App Files Community
HoneyTian commited on
Commit
055797a
·
1 Parent(s): 6af2871

update

Browse files
Files changed (15) hide show
  1. examples/sample_filter/bad_case_find.py +8 -8
  2. examples/sample_filter/correction.py +2 -2
  3. examples/sample_filter/find_label_error_wav.py +4 -4
  4. examples/sample_filter/test2.py +8 -8
  5. examples/sample_filter/wav_find_by_task_excel.py +5 -5
  6. examples/vm_sound_classification/run.sh +7 -7
  7. examples/vm_sound_classification/run_batch.sh +24 -24
  8. examples/vm_sound_classification/step_3_train_model.py +1 -1
  9. examples/vm_sound_classification/step_6_infer.py +2 -2
  10. examples/vm_sound_classification/step_7_test_model.py +2 -2
  11. examples/vm_sound_classification/stop.sh +1 -1
  12. examples/vm_sound_classification8/run.sh +7 -7
  13. examples/vm_sound_classification8/stop.sh +1 -1
  14. install.sh +3 -3
  15. main.py +2 -2
examples/sample_filter/bad_case_find.py CHANGED
@@ -12,20 +12,20 @@ def get_args():
12
  parser = argparse.ArgumentParser()
13
  parser.add_argument(
14
  "--data_dir",
15
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\data",
16
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\us-3",
17
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\transfer",
18
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\id",
19
  type=str
20
  )
21
  parser.add_argument(
22
  "--keep_dir",
23
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\keep",
24
  type=str
25
  )
26
  parser.add_argument(
27
  "--trash_dir",
28
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\trash",
29
  type=str
30
  )
31
  args = parser.parse_args()
@@ -50,7 +50,7 @@ def main():
50
 
51
  label1, prob1 = client.predict(
52
  audio=handle_file(filename),
53
- # model_name="vm_sound_classification8-ch32",
54
  model_name="voicemail-en-ph-2-ch4",
55
  ground_true="Hello!!",
56
  api_name="/click_button"
@@ -59,7 +59,7 @@ def main():
59
 
60
  label2, prob2 = client.predict(
61
  audio=handle_file(filename),
62
- # model_name="vm_sound_classification8-ch32",
63
  model_name="sound-8-ch32",
64
  ground_true="Hello!!",
65
  api_name="/click_button"
 
12
  parser = argparse.ArgumentParser()
13
  parser.add_argument(
14
  "--data_dir",
15
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\data",
16
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\us-3",
17
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\transfer",
18
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\id",
19
  type=str
20
  )
21
  parser.add_argument(
22
  "--keep_dir",
23
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\keep",
24
  type=str
25
  )
26
  parser.add_argument(
27
  "--trash_dir",
28
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\trash",
29
  type=str
30
  )
31
  args = parser.parse_args()
 
50
 
51
  label1, prob1 = client.predict(
52
  audio=handle_file(filename),
53
+ # model_name="cc_audio_8-ch32",
54
  model_name="voicemail-en-ph-2-ch4",
55
  ground_true="Hello!!",
56
  api_name="/click_button"
 
59
 
60
  label2, prob2 = client.predict(
61
  audio=handle_file(filename),
62
+ # model_name="cc_audio_8-ch32",
63
  model_name="sound-8-ch32",
64
  ground_true="Hello!!",
65
  api_name="/click_button"
examples/sample_filter/correction.py CHANGED
@@ -14,12 +14,12 @@ def get_args():
14
  parser = argparse.ArgumentParser()
15
  parser.add_argument(
16
  "--data_dir",
17
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\wav_finished\en-PH\wav_finished",
18
  type=str
19
  )
20
  parser.add_argument(
21
  "--correction_dir",
22
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\correction",
23
  type=str
24
  )
25
  args = parser.parse_args()
 
14
  parser = argparse.ArgumentParser()
15
  parser.add_argument(
16
  "--data_dir",
17
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\wav_finished\en-PH\wav_finished",
18
  type=str
19
  )
20
  parser.add_argument(
21
  "--correction_dir",
22
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\correction",
23
  type=str
24
  )
25
  args = parser.parse_args()
examples/sample_filter/find_label_error_wav.py CHANGED
@@ -14,17 +14,17 @@ def get_args():
14
  parser = argparse.ArgumentParser()
15
  parser.add_argument(
16
  "--data_dir",
17
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\wav_finished\en-US\wav_finished",
18
  type=str
19
  )
20
  parser.add_argument(
21
  "--keep_dir",
22
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\wav_finished\en-US\keep",
23
  type=str
24
  )
25
  parser.add_argument(
26
  "--trash_dir",
27
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\wav_finished\en-US\trash",
28
  type=str
29
  )
30
  args = parser.parse_args()
@@ -50,7 +50,7 @@ def main():
50
 
51
  label1, prob1 = client.predict(
52
  audio=handle_file(filename),
53
- # model_name="vm_sound_classification8-ch32",
54
  model_name="voicemail-en-us-2-ch32",
55
  ground_true="Hello!!",
56
  api_name="/click_button"
 
14
  parser = argparse.ArgumentParser()
15
  parser.add_argument(
16
  "--data_dir",
17
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\wav_finished\en-US\wav_finished",
18
  type=str
19
  )
20
  parser.add_argument(
21
  "--keep_dir",
22
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\wav_finished\en-US\keep",
23
  type=str
24
  )
25
  parser.add_argument(
26
  "--trash_dir",
27
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\wav_finished\en-US\trash",
28
  type=str
29
  )
30
  args = parser.parse_args()
 
50
 
51
  label1, prob1 = client.predict(
52
  audio=handle_file(filename),
53
+ # model_name="cc_audio_8-ch32",
54
  model_name="voicemail-en-us-2-ch32",
55
  ground_true="Hello!!",
56
  api_name="/click_button"
examples/sample_filter/test2.py CHANGED
@@ -14,21 +14,21 @@ def get_args():
14
  parser = argparse.ArgumentParser()
15
  parser.add_argument(
16
  "--data_dir",
17
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\data-1",
18
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\temp-2\temp\VoiceAppVoicemailDetection-1",
19
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\temp-3\temp\VoiceAppVoicemailDetection-1",
20
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\temp-4\temp\VoiceAppVoicemailDetection-1",
21
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\transfer",
22
  type=str
23
  )
24
  parser.add_argument(
25
  "--keep_dir",
26
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\keep-3",
27
  type=str
28
  )
29
  parser.add_argument(
30
  "--trash_dir",
31
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\trash",
32
  type=str
33
  )
34
  args = parser.parse_args()
@@ -53,7 +53,7 @@ def main():
53
 
54
  label1, prob1 = client.predict(
55
  audio=handle_file(filename),
56
- # model_name="vm_sound_classification8-ch32",
57
  model_name="voicemail-ms-my-2-ch32",
58
  ground_true="Hello!!",
59
  api_name="/click_button"
 
14
  parser = argparse.ArgumentParser()
15
  parser.add_argument(
16
  "--data_dir",
17
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\data-1",
18
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\temp-2\temp\VoiceAppVoicemailDetection-1",
19
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\temp-3\temp\VoiceAppVoicemailDetection-1",
20
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\temp-4\temp\VoiceAppVoicemailDetection-1",
21
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\transfer",
22
  type=str
23
  )
24
  parser.add_argument(
25
  "--keep_dir",
26
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\keep-3",
27
  type=str
28
  )
29
  parser.add_argument(
30
  "--trash_dir",
31
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\trash",
32
  type=str
33
  )
34
  args = parser.parse_args()
 
53
 
54
  label1, prob1 = client.predict(
55
  audio=handle_file(filename),
56
+ # model_name="cc_audio_8-ch32",
57
  model_name="voicemail-ms-my-2-ch32",
58
  ground_true="Hello!!",
59
  api_name="/click_button"
examples/sample_filter/wav_find_by_task_excel.py CHANGED
@@ -32,15 +32,15 @@ def get_args():
32
  )
33
  parser.add_argument(
34
  "--wav_dir",
35
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\phl",
36
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\temp-2\temp\VoiceAppVoicemailDetection-1",
37
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\temp-3\temp\VoiceAppVoicemailDetection-1",
38
- # default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\temp-4\temp\VoiceAppVoicemailDetection-1",
39
  type=str
40
  )
41
  parser.add_argument(
42
  "--output_dir",
43
- default=r"E:\Users\tianx\HuggingDatasets\vm_sound_classification\data\transfer",
44
  type=str
45
  )
46
  args = parser.parse_args()
 
32
  )
33
  parser.add_argument(
34
  "--wav_dir",
35
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\phl",
36
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\temp-2\temp\VoiceAppVoicemailDetection-1",
37
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\temp-3\temp\VoiceAppVoicemailDetection-1",
38
+ # default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\temp-4\temp\VoiceAppVoicemailDetection-1",
39
  type=str
40
  )
41
  parser.add_argument(
42
  "--output_dir",
43
+ default=r"E:\Users\tianx\HuggingDatasets\cc_audio_8\data\transfer",
44
  type=str
45
  )
46
  args = parser.parse_args()
examples/vm_sound_classification/run.sh CHANGED
@@ -3,13 +3,13 @@
3
  : <<'END'
4
 
5
  sh run.sh --stage 0 --stop_stage 1 --system_version windows --file_folder_name file_dir --final_model_name sound-4-ch32 \
6
- --filename_patterns "E:/Users/tianx/HuggingDatasets/vm_sound_classification/data/wav_finished/wav_finished/en-US/wav_finished/*/*.wav \
7
- E:/Users/tianx/HuggingDatasets/vm_sound_classification/data/wav_finished/id-ID/wav_finished/*/*.wav" \
8
  --label_plan 4
9
 
10
  sh run.sh --stage 2 --stop_stage 2 --system_version windows --file_folder_name file_dir --final_model_name sound-2-ch32 \
11
- --filename_patterns "E:/Users/tianx/HuggingDatasets/vm_sound_classification/data/wav_finished/wav_finished/en-US/wav_finished/*/*.wav \
12
- E:/Users/tianx/HuggingDatasets/vm_sound_classification/data/wav_finished/id-ID/wav_finished/*/*.wav" \
13
  --label_plan 4
14
 
15
  sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name sound-3-ch32 \
@@ -91,10 +91,10 @@ $verbose && echo "system_version: ${system_version}"
91
  $verbose && echo "file_folder_name: ${file_folder_name}"
92
 
93
  if [ $system_version == "windows" ]; then
94
- alias python3='D:/Users/tianx/PycharmProjects/virtualenv/vm_sound_classification/Scripts/python.exe'
95
  elif [ $system_version == "centos" ] || [ $system_version == "ubuntu" ]; then
96
- #source /data/local/bin/vm_sound_classification/bin/activate
97
- alias python3='/data/local/bin/vm_sound_classification/bin/python3'
98
  fi
99
 
100
 
 
3
  : <<'END'
4
 
5
  sh run.sh --stage 0 --stop_stage 1 --system_version windows --file_folder_name file_dir --final_model_name sound-4-ch32 \
6
+ --filename_patterns "E:/Users/tianx/HuggingDatasets/cc_audio_8/data/wav_finished/wav_finished/en-US/wav_finished/*/*.wav \
7
+ E:/Users/tianx/HuggingDatasets/cc_audio_8/data/wav_finished/id-ID/wav_finished/*/*.wav" \
8
  --label_plan 4
9
 
10
  sh run.sh --stage 2 --stop_stage 2 --system_version windows --file_folder_name file_dir --final_model_name sound-2-ch32 \
11
+ --filename_patterns "E:/Users/tianx/HuggingDatasets/cc_audio_8/data/wav_finished/wav_finished/en-US/wav_finished/*/*.wav \
12
+ E:/Users/tianx/HuggingDatasets/cc_audio_8/data/wav_finished/id-ID/wav_finished/*/*.wav" \
13
  --label_plan 4
14
 
15
  sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name sound-3-ch32 \
 
91
  $verbose && echo "file_folder_name: ${file_folder_name}"
92
 
93
  if [ $system_version == "windows" ]; then
94
+ alias python3='D:/Users/tianx/PycharmProjects/virtualenv/cc_audio_8/Scripts/python.exe'
95
  elif [ $system_version == "centos" ] || [ $system_version == "ubuntu" ]; then
96
+ #source /data/local/bin/cc_audio_8/bin/activate
97
+ alias python3='/data/local/bin/cc_audio_8/bin/python3'
98
  fi
99
 
100
 
examples/vm_sound_classification/run_batch.sh CHANGED
@@ -124,73 +124,73 @@ sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name fi
124
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-PH/wav_finished/*/*.wav" \
125
  --label_plan 2-voicemail \
126
  --config_file "yaml/conv2d-classifier-2-ch4.yaml" \
127
- --pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
128
 
129
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-sg-2-ch4 \
130
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-SG/wav_finished/*/*.wav" \
131
  #--label_plan 2-voicemail \
132
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
133
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
134
  #
135
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-us-2-ch4 \
136
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-US/wav_finished/*/*.wav" \
137
  #--label_plan 2-voicemail \
138
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
139
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
140
  #
141
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-mx-2-ch4 \
142
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-MX/wav_finished/*/*.wav" \
143
  #--label_plan 2-voicemail \
144
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
145
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
146
  #
147
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-pe-2-ch4 \
148
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-PE/wav_finished/*/*.wav" \
149
  #--label_plan 2-voicemail \
150
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
151
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
152
  #
153
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-id-id-2-ch4 \
154
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/id-ID/wav_finished/*/*.wav" \
155
  #--label_plan 2-voicemail \
156
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
157
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
158
  #
159
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ja-jp-2-ch4 \
160
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ja-JP/wav_finished/*/*.wav" \
161
  #--label_plan 2-voicemail \
162
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
163
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
164
  #
165
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ko-kr-2-ch4 \
166
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ko-KR/wav_finished/*/*.wav" \
167
  #--label_plan 2-voicemail \
168
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
169
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
170
  #
171
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ms-my-2-ch4 \
172
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ms-MY/wav_finished/*/*.wav" \
173
  #--label_plan 2-voicemail \
174
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
175
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
176
  #
177
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-pt-br-2-ch4 \
178
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/pt-BR/wav_finished/*/*.wav" \
179
  #--label_plan 2-voicemail \
180
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
181
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
182
  #
183
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-th-th-2-ch4 \
184
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/th-TH/wav_finished/*/*.wav" \
185
  #--label_plan 2-voicemail \
186
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
187
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
188
  #
189
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-zh-tw-2-ch4 \
190
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/zh-TW/wav_finished/*/*.wav" \
191
  #--label_plan 2-voicemail \
192
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
193
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch4.zip"
194
 
195
 
196
  # voicemail ch32
@@ -199,70 +199,70 @@ sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name fi
199
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-PH/wav_finished/*/*.wav" \
200
  --label_plan 2-voicemail \
201
  --config_file "yaml/conv2d-classifier-2-ch32.yaml" \
202
- --pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
203
 
204
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-sg-2-ch32 \
205
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-SG/wav_finished/*/*.wav" \
206
  #--label_plan 2-voicemail \
207
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
208
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
209
  #
210
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-us-2-ch32 \
211
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-US/wav_finished/*/*.wav" \
212
  #--label_plan 2-voicemail \
213
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
214
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
215
  #
216
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-mx-2-ch32 \
217
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-MX/wav_finished/*/*.wav" \
218
  #--label_plan 2-voicemail \
219
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
220
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
221
  #
222
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-pe-2-ch32 \
223
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-PE/wav_finished/*/*.wav" \
224
  #--label_plan 2-voicemail \
225
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
226
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
227
  #
228
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-id-id-2-ch32 \
229
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/id-ID/wav_finished/*/*.wav" \
230
  #--label_plan 2-voicemail \
231
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
232
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
233
  #
234
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ja-jp-2-ch32 \
235
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ja-JP/wav_finished/*/*.wav" \
236
  #--label_plan 2-voicemail \
237
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
238
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
239
  #
240
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ko-kr-2-ch32 \
241
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ko-KR/wav_finished/*/*.wav" \
242
  #--label_plan 2-voicemail \
243
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
244
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
245
  #
246
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ms-my-2-ch32 \
247
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ms-MY/wav_finished/*/*.wav" \
248
  #--label_plan 2-voicemail \
249
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
250
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
251
  #
252
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-pt-br-2-ch32 \
253
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/pt-BR/wav_finished/*/*.wav" \
254
  #--label_plan 2-voicemail \
255
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
256
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
257
  #
258
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-th-th-2-ch32 \
259
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/th-TH/wav_finished/*/*.wav" \
260
  #--label_plan 2-voicemail \
261
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
262
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
263
  #
264
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-zh-tw-2-ch32 \
265
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/zh-TW/wav_finished/*/*.wav" \
266
  #--label_plan 2-voicemail \
267
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
268
- #--pretrained_model "/data/tianxing/PycharmProjects/vm_sound_classification/trained_models/voicemail-2-ch32.zip"
 
124
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-PH/wav_finished/*/*.wav" \
125
  --label_plan 2-voicemail \
126
  --config_file "yaml/conv2d-classifier-2-ch4.yaml" \
127
+ --pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
128
 
129
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-sg-2-ch4 \
130
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-SG/wav_finished/*/*.wav" \
131
  #--label_plan 2-voicemail \
132
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
133
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
134
  #
135
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-us-2-ch4 \
136
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-US/wav_finished/*/*.wav" \
137
  #--label_plan 2-voicemail \
138
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
139
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
140
  #
141
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-mx-2-ch4 \
142
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-MX/wav_finished/*/*.wav" \
143
  #--label_plan 2-voicemail \
144
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
145
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
146
  #
147
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-pe-2-ch4 \
148
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-PE/wav_finished/*/*.wav" \
149
  #--label_plan 2-voicemail \
150
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
151
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
152
  #
153
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-id-id-2-ch4 \
154
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/id-ID/wav_finished/*/*.wav" \
155
  #--label_plan 2-voicemail \
156
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
157
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
158
  #
159
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ja-jp-2-ch4 \
160
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ja-JP/wav_finished/*/*.wav" \
161
  #--label_plan 2-voicemail \
162
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
163
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
164
  #
165
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ko-kr-2-ch4 \
166
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ko-KR/wav_finished/*/*.wav" \
167
  #--label_plan 2-voicemail \
168
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
169
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
170
  #
171
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ms-my-2-ch4 \
172
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ms-MY/wav_finished/*/*.wav" \
173
  #--label_plan 2-voicemail \
174
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
175
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
176
  #
177
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-pt-br-2-ch4 \
178
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/pt-BR/wav_finished/*/*.wav" \
179
  #--label_plan 2-voicemail \
180
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
181
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
182
  #
183
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-th-th-2-ch4 \
184
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/th-TH/wav_finished/*/*.wav" \
185
  #--label_plan 2-voicemail \
186
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
187
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
188
  #
189
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-zh-tw-2-ch4 \
190
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/zh-TW/wav_finished/*/*.wav" \
191
  #--label_plan 2-voicemail \
192
  #--config_file "yaml/conv2d-classifier-2-ch4.yaml" \
193
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch4.zip"
194
 
195
 
196
  # voicemail ch32
 
199
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-PH/wav_finished/*/*.wav" \
200
  --label_plan 2-voicemail \
201
  --config_file "yaml/conv2d-classifier-2-ch32.yaml" \
202
+ --pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
203
 
204
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-sg-2-ch32 \
205
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-SG/wav_finished/*/*.wav" \
206
  #--label_plan 2-voicemail \
207
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
208
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
209
  #
210
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-en-us-2-ch32 \
211
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/en-US/wav_finished/*/*.wav" \
212
  #--label_plan 2-voicemail \
213
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
214
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
215
  #
216
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-mx-2-ch32 \
217
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-MX/wav_finished/*/*.wav" \
218
  #--label_plan 2-voicemail \
219
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
220
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
221
  #
222
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-es-pe-2-ch32 \
223
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/es-PE/wav_finished/*/*.wav" \
224
  #--label_plan 2-voicemail \
225
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
226
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
227
  #
228
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-id-id-2-ch32 \
229
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/id-ID/wav_finished/*/*.wav" \
230
  #--label_plan 2-voicemail \
231
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
232
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
233
  #
234
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ja-jp-2-ch32 \
235
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ja-JP/wav_finished/*/*.wav" \
236
  #--label_plan 2-voicemail \
237
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
238
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
239
  #
240
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ko-kr-2-ch32 \
241
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ko-KR/wav_finished/*/*.wav" \
242
  #--label_plan 2-voicemail \
243
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
244
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
245
  #
246
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-ms-my-2-ch32 \
247
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/ms-MY/wav_finished/*/*.wav" \
248
  #--label_plan 2-voicemail \
249
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
250
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
251
  #
252
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-pt-br-2-ch32 \
253
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/pt-BR/wav_finished/*/*.wav" \
254
  #--label_plan 2-voicemail \
255
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
256
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
257
  #
258
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-th-th-2-ch32 \
259
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/th-TH/wav_finished/*/*.wav" \
260
  #--label_plan 2-voicemail \
261
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
262
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
263
  #
264
  #sh run.sh --stage 0 --stop_stage 6 --system_version centos --file_folder_name file_dir --final_model_name voicemail-zh-tw-2-ch32 \
265
  #--filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/zh-TW/wav_finished/*/*.wav" \
266
  #--label_plan 2-voicemail \
267
  #--config_file "yaml/conv2d-classifier-2-ch32.yaml" \
268
+ #--pretrained_model "/data/tianxing/PycharmProjects/cc_audio_8/trained_models/voicemail-2-ch32.zip"
examples/vm_sound_classification/step_3_train_model.py CHANGED
@@ -188,7 +188,7 @@ def main():
188
  logger.info(f"load pretrained model state dict from: {args.pretrained_model}")
189
  pretrained_model = Path(args.pretrained_model)
190
  with zipfile.ZipFile(pretrained_model.as_posix(), "r") as f_zip:
191
- out_root = Path(tempfile.gettempdir()) / "vm_sound_classification"
192
  # print(out_root.as_posix())
193
  if out_root.exists():
194
  shutil.rmtree(out_root.as_posix())
 
188
  logger.info(f"load pretrained model state dict from: {args.pretrained_model}")
189
  pretrained_model = Path(args.pretrained_model)
190
  with zipfile.ZipFile(pretrained_model.as_posix(), "r") as f_zip:
191
+ out_root = Path(tempfile.gettempdir()) / "cc_audio_8"
192
  # print(out_root.as_posix())
193
  if out_root.exists():
194
  shutil.rmtree(out_root.as_posix())
examples/vm_sound_classification/step_6_infer.py CHANGED
@@ -22,7 +22,7 @@ def get_args():
22
  parser = argparse.ArgumentParser()
23
  parser.add_argument(
24
  "--model_file",
25
- default=(project_path / "trained_models/vm_sound_classification3.zip").as_posix(),
26
  type=str
27
  )
28
  parser.add_argument(
@@ -45,7 +45,7 @@ def main():
45
  device = torch.device(args.device)
46
 
47
  with zipfile.ZipFile(model_file, "r") as f_zip:
48
- out_root = Path(tempfile.gettempdir()) / "vm_sound_classification"
49
  print(out_root.as_posix())
50
  if out_root.exists():
51
  shutil.rmtree(out_root.as_posix())
 
22
  parser = argparse.ArgumentParser()
23
  parser.add_argument(
24
  "--model_file",
25
+ default=(project_path / "trained_models/cc_audio_8.zip").as_posix(),
26
  type=str
27
  )
28
  parser.add_argument(
 
45
  device = torch.device(args.device)
46
 
47
  with zipfile.ZipFile(model_file, "r") as f_zip:
48
+ out_root = Path(tempfile.gettempdir()) / "cc_audio_8"
49
  print(out_root.as_posix())
50
  if out_root.exists():
51
  shutil.rmtree(out_root.as_posix())
examples/vm_sound_classification/step_7_test_model.py CHANGED
@@ -23,7 +23,7 @@ def get_args():
23
  parser = argparse.ArgumentParser()
24
  parser.add_argument(
25
  "--model_file",
26
- default=(project_path / "trained_models/vm_sound_classification3.zip").as_posix(),
27
  type=str
28
  )
29
  parser.add_argument(
@@ -46,7 +46,7 @@ def main():
46
  device = torch.device(args.device)
47
 
48
  with zipfile.ZipFile(model_file, "r") as f_zip:
49
- out_root = Path(tempfile.gettempdir()) / "vm_sound_classification"
50
  print(out_root)
51
  if out_root.exists():
52
  shutil.rmtree(out_root.as_posix())
 
23
  parser = argparse.ArgumentParser()
24
  parser.add_argument(
25
  "--model_file",
26
+ default=(project_path / "trained_models/cc_audio_8.zip").as_posix(),
27
  type=str
28
  )
29
  parser.add_argument(
 
46
  device = torch.device(args.device)
47
 
48
  with zipfile.ZipFile(model_file, "r") as f_zip:
49
+ out_root = Path(tempfile.gettempdir()) / "cc_audio_8"
50
  print(out_root)
51
  if out_root.exists():
52
  shutil.rmtree(out_root.as_posix())
examples/vm_sound_classification/stop.sh CHANGED
@@ -1,3 +1,3 @@
1
  #!/usr/bin/env bash
2
 
3
- kill -9 `ps -aef | grep 'vm_sound_classification/bin/python3' | grep -v grep | awk '{print $2}' | sed 's/\n/ /'`
 
1
  #!/usr/bin/env bash
2
 
3
+ kill -9 `ps -aef | grep 'cc_audio_8/bin/python3' | grep -v grep | awk '{print $2}' | sed 's/\n/ /'`
examples/vm_sound_classification8/run.sh CHANGED
@@ -2,18 +2,18 @@
2
 
3
  : <<'END'
4
 
5
- sh run.sh --stage 3 --stop_stage 3 --system_version windows --file_folder_name file_dir --final_model_name vm_sound_classification8 \
6
  --filename_patterns "E:/programmer/asr_datasets/voicemail/wav_finished/en-US/wav_finished/*/*.wav \
7
  E:/programmer/asr_datasets/voicemail/wav_finished/id-ID/wav_finished/*/*.wav" \
8
 
9
 
10
- sh run.sh --stage 3 --stop_stage 3 --system_version windows --file_folder_name file_dir --final_model_name vm_sound_classification8 \
11
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/*/wav_finished/*/*.wav"
12
 
13
- sh run.sh --stage 4 --stop_stage 4 --system_version windows --file_folder_name file_dir --final_model_name vm_sound_classification8 \
14
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/*/wav_finished/*/*.wav"
15
 
16
- sh run.sh --stage 4 --stop_stage 4 --system_version centos --file_folder_name file_dir --final_model_name vm_sound_classification8 \
17
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/*/wav_finished/*/*.wav"
18
 
19
 
@@ -90,10 +90,10 @@ $verbose && echo "system_version: ${system_version}"
90
  $verbose && echo "file_folder_name: ${file_folder_name}"
91
 
92
  if [ $system_version == "windows" ]; then
93
- alias python3='D:/Users/tianx/PycharmProjects/virtualenv/vm_sound_classification/Scripts/python.exe'
94
  elif [ $system_version == "centos" ] || [ $system_version == "ubuntu" ]; then
95
- #source /data/local/bin/vm_sound_classification/bin/activate
96
- alias python3='/data/local/bin/vm_sound_classification/bin/python3'
97
  fi
98
 
99
 
 
2
 
3
  : <<'END'
4
 
5
+ sh run.sh --stage 3 --stop_stage 3 --system_version windows --file_folder_name file_dir --final_model_name cc_audio_8 \
6
  --filename_patterns "E:/programmer/asr_datasets/voicemail/wav_finished/en-US/wav_finished/*/*.wav \
7
  E:/programmer/asr_datasets/voicemail/wav_finished/id-ID/wav_finished/*/*.wav" \
8
 
9
 
10
+ sh run.sh --stage 3 --stop_stage 3 --system_version windows --file_folder_name file_dir --final_model_name cc_audio_8 \
11
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/*/wav_finished/*/*.wav"
12
 
13
+ sh run.sh --stage 4 --stop_stage 4 --system_version windows --file_folder_name file_dir --final_model_name cc_audio_8 \
14
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/*/wav_finished/*/*.wav"
15
 
16
+ sh run.sh --stage 4 --stop_stage 4 --system_version centos --file_folder_name file_dir --final_model_name cc_audio_8 \
17
  --filename_patterns "/data/tianxing/PycharmProjects/datasets/voicemail/*/wav_finished/*/*.wav"
18
 
19
 
 
90
  $verbose && echo "file_folder_name: ${file_folder_name}"
91
 
92
  if [ $system_version == "windows" ]; then
93
+ alias python3='D:/Users/tianx/PycharmProjects/virtualenv/cc_audio_8/Scripts/python.exe'
94
  elif [ $system_version == "centos" ] || [ $system_version == "ubuntu" ]; then
95
+ #source /data/local/bin/cc_audio_8/bin/activate
96
+ alias python3='/data/local/bin/cc_audio_8/bin/python3'
97
  fi
98
 
99
 
examples/vm_sound_classification8/stop.sh CHANGED
@@ -1,3 +1,3 @@
1
  #!/usr/bin/env bash
2
 
3
- kill -9 `ps -aef | grep 'vm_sound_classification/bin/python3' | grep -v grep | awk '{print $2}' | sed 's/\n/ /'`
 
1
  #!/usr/bin/env bash
2
 
3
+ kill -9 `ps -aef | grep 'cc_audio_8/bin/python3' | grep -v grep | awk '{print $2}' | sed 's/\n/ /'`
install.sh CHANGED
@@ -54,11 +54,11 @@ fi
54
  if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
55
  $verbose && echo "stage 2: create virtualenv"
56
 
57
- # /usr/local/python-3.6.5/bin/virtualenv vm_sound_classification
58
- # source /data/local/bin/vm_sound_classification/bin/activate
59
  /usr/local/python-${python_version}/bin/pip3 install virtualenv
60
  mkdir -p /data/local/bin
61
  cd /data/local/bin || exit 1;
62
- /usr/local/python-${python_version}/bin/virtualenv vm_sound_classification
63
 
64
  fi
 
54
  if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
55
  $verbose && echo "stage 2: create virtualenv"
56
 
57
+ # /usr/local/python-3.6.5/bin/virtualenv cc_audio_8
58
+ # source /data/local/bin/cc_audio_8/bin/activate
59
  /usr/local/python-${python_version}/bin/pip3 install virtualenv
60
  mkdir -p /data/local/bin
61
  cd /data/local/bin || exit 1;
62
+ /usr/local/python-${python_version}/bin/virtualenv cc_audio_8
63
 
64
  fi
main.py CHANGED
@@ -28,7 +28,7 @@ def get_args():
28
  )
29
  parser.add_argument(
30
  "--models_repo_id",
31
- default="qgyd2021/vm_sound_classification",
32
  type=str
33
  )
34
  parser.add_argument(
@@ -54,7 +54,7 @@ def get_args():
54
  @lru_cache(maxsize=100)
55
  def load_model(model_file: Path):
56
  with zipfile.ZipFile(model_file, "r") as f_zip:
57
- out_root = Path(tempfile.gettempdir()) / "vm_sound_classification"
58
  if out_root.exists():
59
  shutil.rmtree(out_root.as_posix())
60
  out_root.mkdir(parents=True, exist_ok=True)
 
28
  )
29
  parser.add_argument(
30
  "--models_repo_id",
31
+ default="qgyd2021/cc_audio_8",
32
  type=str
33
  )
34
  parser.add_argument(
 
54
  @lru_cache(maxsize=100)
55
  def load_model(model_file: Path):
56
  with zipfile.ZipFile(model_file, "r") as f_zip:
57
+ out_root = Path(tempfile.gettempdir()) / "cc_audio_8"
58
  if out_root.exists():
59
  shutil.rmtree(out_root.as_posix())
60
  out_root.mkdir(parents=True, exist_ok=True)