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README.md CHANGED
@@ -116,9 +116,9 @@ To get started, follow the instructions for [installing MFA](https://montreal-fo
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  ##### Diphthongs
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  * aw
 
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  * aj
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  * ej
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- * ow
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  #### Details for mandarin_china_mfa dictionary and G2P model
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  | **Open** | | | a | | |
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  ##### Diphthongs
 
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  * aw
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  * aj
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  * ej
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- * ow
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  ## Training Details
 
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  ##### Diphthongs
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  * aw
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+ * ow
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  * aj
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  * ej
 
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  #### Details for mandarin_china_mfa dictionary and G2P model
 
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  | **Open** | | | a | | |
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  ##### Diphthongs
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+ * ow
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  * aw
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  * aj
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  * ej
 
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  ## Training Details
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acoustic/meta.json CHANGED
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- {"phones": ["a", "aj", "aj˥", "aj˥˩", "aj˧", "aj˧˥", "aj˨˩˦", "aj˩", "aw", "aw˥", "aw˥˩", "aw˧", "aw˧˥", "aw˨˩˦", "aw˩", "a˥", "a˥˩", "a˧", "a˧˥", "a˨˩˦", "a˩", "e", "ej", "ej˥", "ej˥˩", "ej˧", "ej˧˥", "ej˨˩˦", "ej˩", "e˥", "e˥˩", "e˧", "e˧˥", "e˨˩˦", "e˩", "f", "i", "i˥", "i˥˩", "i˧", "i˧˥", "i˨˩˦", "i˩", "j", "k", "kʰ", "kʷ", "l", "m", "mʲ", "m̩", "m̩˥", "m̩˥˩", "m̩˧", "m̩˧˥", "m̩˨˩˦", "n", "n̩˥˩", "n̩˧˥", "n̩˨˩˦", "o", "ow", "ow˥", "ow˥˩", "ow˧", "ow˧˥", "ow˨˩˦", "ow˩", "o˥", "o˥˩", "o˧", "o˧˥", "o˨˩˦", "o˩", "p", "pʰ", "pʲ", "pʷ", "s", "t", "ts", "tsʰ", "tɕ", "tɕʰ", "tɕʷ", "tʰ", "tʲ", "tʷ", "u", "u˥", "u˥˩", "u˧", "u˧˥", "u˨˩˦", "u˩", "w", "x", "xʷ", "y", "y˥", "y˥˩", "y˧", "y˧˥", "y˨˩˦", "y˩", "z̩", "z̩˥", "z̩˥˩", "z̩˧", "z̩˧˥", "z̩˨˩˦", "z̩˩", "ŋ", "ŋ̍", "ŋ̍˥˩", "ŋ̍˧˥", "ŋ̍˨˩˦", "ɕ", "ɕʷ", "ə", "ə˥", "ə˥˩", "ə˧", "ə˧˥", "ə˨˩˦", "ə˩", "ɥ", "ɲ", "ɻ", "ʂ", "ʈʂ", "ʈʂʰ", "ʎ", "ʐ", "ʐ̩", "ʐ̩˥", "ʐ̩˥˩", "ʐ̩˧", "ʐ̩˧˥", "ʐ̩˨˩˦", "ʐ̩˩", "ʔ"], "phone_mapping": {"<eps>": 0, "sil": 1, 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"m̩˥", "m̩˥˩", "m̩˧", "m̩˧˥", "m̩˨˩˦"], "11": ["n", "n̩˥˩", "n̩˧˥", "n̩˨˩˦", "ɲ"], "12": ["ow", "ow˥", "ow˥˩", "ow˧", "ow˧˥", "ow˨˩˦", "ow˩"], "13": ["o", "o˥", "o˥˩", "o˧", "o˧˥", "o˨˩˦", "o˩"], "14": ["p"], "15": ["pʰ", "pʲ", "pʷ"], "16": ["s"], "17": ["t"], "18": ["ts"], "19": ["tsʰ"], "20": ["tʰ", "tʲ", "tʷ"], "21": ["u", "u˥", "u˥˩", "u˧", "u˧˥", "u˨˩˦", "u˩", "w"], "22": ["x", "xʷ"], "23": ["y", "y˥", "y˥˩", "y˧", "y˧˥", "y˨˩˦", "y˩", "ɥ"], "24": ["z̩", "z̩˥", "z̩˥˩", "z̩˧", "z̩˧˥", "z̩˨˩˦", "z̩˩"], "25": ["ŋ", "ŋ̍", "ŋ̍˥˩", "ŋ̍˧˥", "ŋ̍˨˩˦"], "26": ["ə", "ə˥", "ə˥˩", "ə˧", "ə˧˥", "ə˨˩˦", "ə˩"], "27": [], "28": ["ɕ", "ɕʷ", "ʂ"], "29": ["tɕ", "ʈʂ"], "30": ["tɕʰ", "tɕʷ", "ʈʂʰ"], "31": ["ɻ"], "32": ["ʐ", "ʐ̩", "ʐ̩˥", "ʐ̩˥˩", "ʐ̩˧", "ʐ̩˧˥", "ʐ̩˨˩˦", "ʐ̩˩"], "33": ["ʔ"]}, "version": "3.3.0", "architecture": "gmm-hmm", "train_date": "2026-06-11 17:28:13.943464", "training": {"audio_duration": 2643393.042393958, "num_speakers": 7272, "num_utterances": 635145, "num_oovs": 0, 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The diff for this file is too large to render. See raw diff
 
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  dialects:
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  china:
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- silence_after_probability: 0.17
50
- silence_before_correction: 0.2
51
  - following_context: ''
52
- non_silence_before_correction: 0.0
53
  preceding_context: ''
54
- probability: 0.02
55
  replacement: tʲ
56
  segment: t j
57
- silence_after_probability: 0.96
58
- silence_before_correction: -0.09
59
  - following_context: ''
60
- non_silence_before_correction: -0.04
61
  preceding_context: ''
62
  probability: 0.06
63
  replacement: pʲ
64
  segment: pʰ j
65
- silence_after_probability: 0.29
66
- silence_before_correction: 0.04
67
  - following_context: ''
68
- non_silence_before_correction: -0.02
69
  preceding_context: ''
70
- probability: 0.02
71
  replacement: pʲ
72
  segment: p j
73
- silence_after_probability: 1.07
74
- silence_before_correction: -0.05
75
  - following_context: ''
76
- non_silence_before_correction: 0.0
77
  preceding_context: ''
78
- probability: 0.03
79
  replacement: pʷ
80
  segment: pʰ w
81
- silence_after_probability: 1.05
82
- silence_before_correction: -0.1
83
  - following_context: ''
84
- non_silence_before_correction: -0.01
85
  preceding_context: ''
86
  probability: 0.03
87
  replacement: pʷ
88
  segment: p w
89
- silence_after_probability: 2.9
90
- silence_before_correction: -0.05
91
  - following_context: ''
92
- non_silence_before_correction: -0.07
93
  preceding_context: ''
94
- probability: 0.09
95
  replacement: tʷ
96
  segment: tʰ w
97
- silence_after_probability: 0.78
98
- silence_before_correction: 0.22
99
  - following_context: ''
100
- non_silence_before_correction: -0.03
101
  preceding_context: ''
102
- probability: 0.01
103
  replacement: tʷ
104
  segment: t w
105
- silence_after_probability: 1.22
106
- silence_before_correction: 0.07
107
  - following_context: ''
108
- non_silence_before_correction: 0.01
109
  preceding_context: ''
110
  probability: 0.01
111
  replacement: kʷ
112
  segment: kʰ w
113
  silence_after_probability: 1.92
114
- silence_before_correction: -0.09
115
  - following_context: ''
116
- non_silence_before_correction: 0.02
117
  preceding_context: ''
118
  probability: 0.01
119
  replacement: kʷ
120
  segment: k w
121
- silence_after_probability: 3.28
122
- silence_before_correction: -0.14
123
  taiwan:
124
  - following_context: ''
125
- non_silence_before_correction: 0.08
126
  preceding_context: ''
127
  probability: 0.04
128
  replacement: ''
129
  segment: ʔ
130
- silence_after_probability: 1.33
131
- silence_before_correction: -0.2
132
  - following_context: ''
133
- non_silence_before_correction: 0.06
134
  preceding_context: ''
135
  probability: 0.02
136
  replacement: ''
137
  segment: ɻ
138
- silence_after_probability: 0.42
139
- silence_before_correction: 0.01
140
  - following_context: ''
141
- non_silence_before_correction: -0.08
142
  preceding_context: ''
143
  probability: 0.01
144
  replacement: mʲ
145
  segment: m j
146
- silence_after_probability: 0.65
147
- silence_before_correction: 0.14
148
  - following_context: ''
149
- non_silence_before_correction: -0.01
150
  preceding_context: ''
151
- probability: 0.01
152
  replacement: ʎ
153
  segment: l j
154
- silence_after_probability: 3.53
155
- silence_before_correction: -0.08
156
  - following_context: ''
157
- non_silence_before_correction: 0.0
158
  preceding_context: ''
159
  probability: 0.01
160
  replacement: ɲ
161
  segment: n j
162
- silence_after_probability: 0.89
163
- silence_before_correction: -0.06
164
  - following_context: ''
165
- non_silence_before_correction: -0.04
166
  preceding_context: ''
167
- probability: 0.06
168
  replacement: tʲ
169
  segment: tʰ j
170
- silence_after_probability: 0.25
171
- silence_before_correction: 0.36
172
  - following_context: ''
173
- non_silence_before_correction: 0.02
174
  preceding_context: ''
175
  probability: 0.01
176
  replacement: tʲ
177
  segment: t j
178
- silence_after_probability: 0.77
179
- silence_before_correction: -0.12
180
  - following_context: ''
181
- non_silence_before_correction: 0.0
182
  preceding_context: ''
183
  probability: 0.02
184
  replacement: pʲ
185
  segment: pʰ j
186
- silence_after_probability: 0.44
187
- silence_before_correction: -0.07
188
  - following_context: ''
189
- non_silence_before_correction: -0.04
190
  preceding_context: ''
191
  probability: 0.01
192
  replacement: pʲ
193
  segment: p j
194
- silence_after_probability: 0.79
195
- silence_before_correction: 0.07
196
  - following_context: ''
197
- non_silence_before_correction: 0.05
198
  preceding_context: ''
199
  probability: 0.01
200
  replacement: pʷ
201
  segment: pʰ w
202
- silence_after_probability: 1.57
203
- silence_before_correction: -0.19
204
  - following_context: ''
205
- non_silence_before_correction: 0.09
206
  preceding_context: ''
207
  probability: 0.01
208
  replacement: pʷ
209
  segment: p w
210
- silence_after_probability: 3.38
211
- silence_before_correction: -0.26
212
  - following_context: ''
213
  non_silence_before_correction: -0.01
214
  preceding_context: ''
215
- probability: 0.01
216
  replacement: tʷ
217
  segment: tʰ w
218
- silence_after_probability: 1.04
219
- silence_before_correction: -0.06
220
  - following_context: ''
221
- non_silence_before_correction: -0.01
222
  preceding_context: ''
223
  probability: 0.01
224
  replacement: tʷ
225
  segment: t w
226
- silence_after_probability: 2.11
227
- silence_before_correction: -0.04
228
  - following_context: ''
229
- non_silence_before_correction: -0.12
230
  preceding_context: ''
231
  probability: 0.01
232
  replacement: kʷ
233
  segment: kʰ w
234
- silence_after_probability: 1.69
235
- silence_before_correction: 0.14
236
  - following_context: ''
237
- non_silence_before_correction: -0.06
238
  preceding_context: ''
239
  probability: 0.01
240
  replacement: kʷ
241
  segment: k w
242
- silence_after_probability: 2.11
243
- silence_before_correction: -0.03
244
  rules: []
 
1
  dialects:
2
  china:
3
  - following_context: ''
4
+ non_silence_before_correction: 0.05
5
  preceding_context: ''
6
+ probability: 0.3
7
  replacement: ''
8
  segment: ʔ
9
+ silence_after_probability: 1.0
10
+ silence_before_correction: 0.01
11
  - following_context: ''
12
  non_silence_before_correction: 0.09
13
  preceding_context: ''
14
  probability: 0.05
15
  replacement: ''
16
  segment: ɻ
17
+ silence_after_probability: 1.67
18
+ silence_before_correction: -0.12
19
  - following_context: ''
20
+ non_silence_before_correction: 0.01
21
  preceding_context: ''
22
+ probability: 0.06
23
  replacement: mʲ
24
  segment: m j
25
+ silence_after_probability: 0.5
26
+ silence_before_correction: -0.1
27
  - following_context: ''
28
+ non_silence_before_correction: 0.02
29
  preceding_context: ''
30
+ probability: 0.04
31
  replacement: ʎ
32
  segment: l j
33
+ silence_after_probability: 2.22
34
+ silence_before_correction: -0.12
35
  - following_context: ''
36
+ non_silence_before_correction: 0.03
37
  preceding_context: ''
38
+ probability: 0.09
39
  replacement: ɲ
40
  segment: n j
41
+ silence_after_probability: 1.42
42
  silence_before_correction: -0.19
43
  - following_context: ''
44
  non_silence_before_correction: -0.05
45
  preceding_context: ''
46
+ probability: 0.14
47
  replacement: tʲ
48
  segment: tʰ j
49
+ silence_after_probability: 0.21
50
+ silence_before_correction: 0.09
51
  - following_context: ''
52
+ non_silence_before_correction: 0.01
53
  preceding_context: ''
54
+ probability: 0.04
55
  replacement: tʲ
56
  segment: t j
57
+ silence_after_probability: 1.52
58
+ silence_before_correction: -0.1
59
  - following_context: ''
60
+ non_silence_before_correction: 0.01
61
  preceding_context: ''
62
  probability: 0.06
63
  replacement: pʲ
64
  segment: pʰ j
65
+ silence_after_probability: 0.56
66
+ silence_before_correction: -0.08
67
  - following_context: ''
68
+ non_silence_before_correction: 0.01
69
  preceding_context: ''
70
+ probability: 0.01
71
  replacement: pʲ
72
  segment: p j
73
+ silence_after_probability: 1.41
74
+ silence_before_correction: -0.09
75
  - following_context: ''
76
+ non_silence_before_correction: -0.02
77
  preceding_context: ''
78
+ probability: 0.02
79
  replacement: pʷ
80
  segment: pʰ w
81
+ silence_after_probability: 0.91
82
+ silence_before_correction: -0.08
83
  - following_context: ''
84
+ non_silence_before_correction: 0.07
85
  preceding_context: ''
86
  probability: 0.03
87
  replacement: pʷ
88
  segment: p w
89
+ silence_after_probability: 2.62
90
+ silence_before_correction: -0.21
91
  - following_context: ''
92
+ non_silence_before_correction: 0.07
93
  preceding_context: ''
94
+ probability: 0.15
95
  replacement: tʷ
96
  segment: tʰ w
97
+ silence_after_probability: 0.87
98
+ silence_before_correction: -0.2
99
  - following_context: ''
100
+ non_silence_before_correction: -0.01
101
  preceding_context: ''
102
+ probability: 0.05
103
  replacement: tʷ
104
  segment: t w
105
+ silence_after_probability: 0.79
106
+ silence_before_correction: 0.04
107
  - following_context: ''
108
+ non_silence_before_correction: 0.0
109
  preceding_context: ''
110
  probability: 0.01
111
  replacement: kʷ
112
  segment: kʰ w
113
  silence_after_probability: 1.92
114
+ silence_before_correction: -0.08
115
  - following_context: ''
116
+ non_silence_before_correction: 0.03
117
  preceding_context: ''
118
  probability: 0.01
119
  replacement: kʷ
120
  segment: k w
121
+ silence_after_probability: 2.72
122
+ silence_before_correction: -0.17
123
  taiwan:
124
  - following_context: ''
125
+ non_silence_before_correction: 0.07
126
  preceding_context: ''
127
  probability: 0.04
128
  replacement: ''
129
  segment: ʔ
130
+ silence_after_probability: 1.62
131
+ silence_before_correction: -0.17
132
  - following_context: ''
133
+ non_silence_before_correction: 0.07
134
  preceding_context: ''
135
  probability: 0.02
136
  replacement: ''
137
  segment: ɻ
138
+ silence_after_probability: 0.58
139
+ silence_before_correction: -0.09
140
  - following_context: ''
141
+ non_silence_before_correction: -0.03
142
  preceding_context: ''
143
  probability: 0.01
144
  replacement: mʲ
145
  segment: m j
146
+ silence_after_probability: 0.5
147
+ silence_before_correction: 0.05
148
  - following_context: ''
149
+ non_silence_before_correction: 0.01
150
  preceding_context: ''
151
+ probability: 0.02
152
  replacement: ʎ
153
  segment: l j
154
+ silence_after_probability: 3.56
155
+ silence_before_correction: -0.09
156
  - following_context: ''
157
+ non_silence_before_correction: 0.04
158
  preceding_context: ''
159
  probability: 0.01
160
  replacement: ɲ
161
  segment: n j
162
+ silence_after_probability: 1.26
163
+ silence_before_correction: -0.18
164
  - following_context: ''
165
+ non_silence_before_correction: -0.02
166
  preceding_context: ''
167
+ probability: 0.03
168
  replacement: tʲ
169
  segment: tʰ j
170
+ silence_after_probability: 0.53
171
+ silence_before_correction: 0.09
172
  - following_context: ''
173
+ non_silence_before_correction: 0.01
174
  preceding_context: ''
175
  probability: 0.01
176
  replacement: tʲ
177
  segment: t j
178
+ silence_after_probability: 1.68
179
+ silence_before_correction: -0.1
180
  - following_context: ''
181
+ non_silence_before_correction: -0.02
182
  preceding_context: ''
183
  probability: 0.02
184
  replacement: pʲ
185
  segment: pʰ j
186
+ silence_after_probability: 0.5
187
+ silence_before_correction: 0.03
188
  - following_context: ''
189
+ non_silence_before_correction: -0.02
190
  preceding_context: ''
191
  probability: 0.01
192
  replacement: pʲ
193
  segment: p j
194
+ silence_after_probability: 1.31
195
+ silence_before_correction: -0.01
196
  - following_context: ''
197
+ non_silence_before_correction: 0.11
198
  preceding_context: ''
199
  probability: 0.01
200
  replacement: pʷ
201
  segment: pʰ w
202
+ silence_after_probability: 2.27
203
+ silence_before_correction: -0.3
204
  - following_context: ''
205
+ non_silence_before_correction: 0.12
206
  preceding_context: ''
207
  probability: 0.01
208
  replacement: pʷ
209
  segment: p w
210
+ silence_after_probability: 3.95
211
+ silence_before_correction: -0.32
212
  - following_context: ''
213
  non_silence_before_correction: -0.01
214
  preceding_context: ''
215
+ probability: 0.02
216
  replacement: tʷ
217
  segment: tʰ w
218
+ silence_after_probability: 1.22
219
+ silence_before_correction: -0.08
220
  - following_context: ''
221
+ non_silence_before_correction: 0.01
222
  preceding_context: ''
223
  probability: 0.01
224
  replacement: tʷ
225
  segment: t w
226
+ silence_after_probability: 2.26
227
+ silence_before_correction: -0.05
228
  - following_context: ''
229
+ non_silence_before_correction: -0.06
230
  preceding_context: ''
231
  probability: 0.01
232
  replacement: kʷ
233
  segment: kʰ w
234
+ silence_after_probability: 1.35
235
+ silence_before_correction: 0.01
236
  - following_context: ''
237
+ non_silence_before_correction: -0.02
238
  preceding_context: ''
239
  probability: 0.01
240
  replacement: kʷ
241
  segment: k w
242
+ silence_after_probability: 2.44
243
+ silence_before_correction: -0.1
244
  rules: []
g2p/mandarin_china_mfa/meta.json CHANGED
@@ -1 +1 @@
1
- {"version": "3.0.0", "architecture": "phonetisaurus", "train_date": "2024-02-23 16:58:56.188869", "phones": ["a\u02e9", "aj\u02e5\u02e9", "\u0288\u0282\u02b0", "m\u02b2", "e\u02e9", "ow", "p\u02b0", "o\u02e7", "ts", "e\u02e5\u02e9", "\u0259\u02e7", "a\u02e5\u02e9", "\u0290\u0329\u02e7", "k\u02b0", "\u0265", "aw\u02e5\u02e9", "y\u02e8\u02e9\u02e6", "i\u02e7", "\u0259\u02e5", "aw\u02e7", "a\u02e8\u02e9\u02e6", "u\u02e5", "\u028e", "e\u02e7", "ej\u02e7\u02e5", "aj", "\u0290\u0329\u02e5\u02e9", "u\u02e5\u02e9", "ej\u02e5\u02e9", "i\u02e8\u02e9\u02e6", "t\u02b2", "\u0290\u0329\u02e7\u02e5", "z\u0329\u02e5", "ow\u02e5", "\u0259", "\u0259\u02e5\u02e9", "ow\u02e7\u02e5", "aw\u02e7\u02e5", "a", "y\u02e5", "m\u0329\u02e5", "w", "e\u02e8\u02e9\u02e6", "aj\u02e5", "j", "i\u02e7\u02e5", "n", "ej\u02e9", "ow\u02e8\u02e9\u02e6", "aw\u02e5", "p\u02b2", "z\u0329\u02e5\u02e9", "aj\u02e8\u02e9\u02e6", "i", "e\u02e5", "o\u02e5", "y\u02e7\u02e5", "e", "y", "\u0259\u02e8\u02e9\u02e6", "ow\u02e7", "o\u02e7\u02e5", "o\u02e8\u02e9\u02e6", "m", "k", "y\u02e7", "\u0294", "t\u0255", "\u0255", "t\u02b7", "k\u02b7", "m\u0329\u02e8\u02e9\u02e6", "o\u02e5\u02e9", "aj\u02e7", "e\u02e7\u02e5", "x\u02b7", "i\u02e9", "n\u0329\u02e7\u02e5", "aw\u02e9", "\u0259\u02e7\u02e5", "ej\u02e8\u02e9\u02e6", "\u0290\u0329\u02e5", "ow\u02e9", "s", "aw\u02e8\u02e9\u02e6", "\u0290\u0329", "\u0272", "\u0288\u0282", "\u0290\u0329\u02e9", "i\u02e5", "aw", "f", "\u014b\u030d\u02e7\u02e5", "z\u0329", "u\u02e7", "aj\u02e7\u02e5", "m\u0329", "u\u02e8\u02e9\u02e6", "o\u02e9", "ow\u02e5\u02e9", "p\u02b7", "\u0290", "\u0290\u0329\u02e8\u02e9\u02e6", "z\u0329\u02e7\u02e5", "i\u02e5\u02e9", "\u0259\u02e9", "t\u02b0", "ej\u02e5", "y\u02e5\u02e9", "t\u0255\u02b7", "aj\u02e9", "\u0282", "t", "m\u0329\u02e7\u02e5", "a\u02e7\u02e5", "p", "z\u0329\u02e8\u02e9\u02e6", "a\u02e5", "\u0255\u02b7", "u", "ts\u02b0", "x", "y\u02e9", "m\u0329\u02e5\u02e9", "t\u0255\u02b0", "o", "l", "u\u02e9", "\u014b\u030d", "z\u0329\u02e9", "\u014b", "u\u02e7\u02e5", "ej", "ej\u02e7", "a\u02e7", "\u027b", "z\u0329\u02e7"], "graphemes": ["\u014d", "\u012b", "\u01d2", "\u016b", "\u00e8", "a", "\u00fc", "w", "\u00e0", "h", "\u01ce", "\u00e9", "j", "\u0113", "s", "g", "'", "\u011b", "t", "\u01dc", "n", "\u00ec", "\u01d8", "\u00ed", "\u01d0", "q", "\u00f2", "p", "f", "d", "u", "\u0101", "\u00e1", "x", "\u01da", "\u01d4", "b", "i", "c", "z", "o", "l", "e", "r", "y", "\u00f9", "m", "k", "\u00fa", "\u00f3"], "grapheme_order": 2, "phone_order": 2, "sequence_separator": "|", "evaluation": {"num_words": 10700, "word_error_rate": null, "phone_error_rate": null}, "training": {"num_words": 96301, "num_graphemes": 50, "num_phones": 137}, "unicode_decomposition": false}
 
1
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g2p/mandarin_taiwan_mfa/meta.json CHANGED
@@ -1 +1 @@
1
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1
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