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webvoiceproject

#45
by jtorreseco - opened
base: refs/heads/main
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from: refs/pr/45
Discussion Files changed
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Files changed (50) hide show
  1. _script/voicefest.py +0 -5
  2. bg/bg_BG/dimitar/medium/MODEL_CARD +0 -15
  3. bg/bg_BG/dimitar/medium/bg_BG-dimitar-medium.onnx.json +0 -517
  4. bg/bg_BG/dimitar/medium/samples/speaker_0.mp3 +0 -3
  5. cs/cs_CZ/jirka/low/MODEL_CARD +1 -1
  6. cs/cs_CZ/jirka/medium/MODEL_CARD +1 -1
  7. el/el_GR/rapunzelina/medium/samples/speaker_0.mp3 +0 -3
  8. en/en_US/joe/medium/MODEL_CARD +1 -1
  9. es/es_ES/davefx/medium/MODEL_CARD +1 -1
  10. es/es_MX/ald/medium/es_MX-ald-medium.onnx.json +2 -2
  11. eu/eu_ES/antton/medium/MODEL_CARD +0 -15
  12. eu/eu_ES/antton/medium/eu_ES-antton-medium.onnx +0 -3
  13. eu/eu_ES/antton/medium/eu_ES-antton-medium.onnx.json +0 -514
  14. eu/eu_ES/maider/medium/MODEL_CARD +0 -15
  15. eu/eu_ES/maider/medium/eu_ES-maider-medium.onnx +0 -3
  16. eu/eu_ES/maider/medium/eu_ES-maider-medium.onnx.json +0 -514
  17. eu/eu_ES/maider/medium/samples/speaker_0.mp3 +0 -3
  18. hu/hu_HU/anna/medium/MODEL_CARD +1 -1
  19. hu/hu_HU/berta/medium/MODEL_CARD +1 -1
  20. hu/hu_HU/imre/medium/MODEL_CARD +1 -1
  21. ku/ku_TR/berfin_renas/medium/MODEL_CARD +0 -142
  22. ku/ku_TR/berfin_renas/medium/ku_TR-berfin_renas-medium.onnx +0 -3
  23. ku/ku_TR/berfin_renas/medium/ku_TR-berfin_renas-medium.onnx.json +0 -517
  24. ku/ku_TR/berfin_renas/medium/samples/speaker_0.mp3 +0 -3
  25. ku/ku_TR/berfin_renas/medium/samples/speaker_1.mp3 +0 -3
  26. ne/ne_NP/chitwan/medium/MODEL_CARD +1 -1
  27. nl/nl_NL/alex/medium/MODEL_CARD +0 -15
  28. nl/nl_NL/alex/medium/nl_NL-alex-medium.onnx +0 -3
  29. nl/nl_NL/pim/medium/MODEL_CARD +1 -1
  30. nl/nl_NL/ronnie/medium/MODEL_CARD +1 -1
  31. pl/pl_PL/bass/high/MODEL_CARD +0 -13
  32. pl/pl_PL/bass/high/pl_PL-bass-high.onnx +0 -3
  33. pl/pl_PL/bass/high/pl_PL-bass-high.onnx.json +0 -502
  34. pl/pl_PL/bass/high/samples/speaker_0.mp3 +0 -3
  35. pl/pl_PL/darkman/medium/MODEL_CARD +1 -1
  36. pl/pl_PL/gosia/medium/MODEL_CARD +1 -1
  37. pt/pt_BR/cadu/medium/MODEL_CARD +1 -1
  38. pt/pt_BR/faber/medium/MODEL_CARD +1 -1
  39. pt/pt_BR/jeff/medium/MODEL_CARD +1 -1
  40. pt/pt_PT/tugão/medium/MODEL_CARD +1 -1
  41. ro/ro_RO/mihai/medium/MODEL_CARD +1 -1
  42. ru/ru_RU/denis/medium/MODEL_CARD +1 -1
  43. ru/ru_RU/dmitri/medium/MODEL_CARD +1 -1
  44. sk/sk_SK/lili/medium/MODEL_CARD +1 -1
  45. sq/sq_AL/edon/medium/samples/speaker_0.mp3 +0 -3
  46. sq/sq_AL/edon/medium/sq_AL-edon-medium.onnx +0 -3
  47. sq/sq_AL/edon/medium/sq_AL-edon-medium.onnx.json +0 -502
  48. sv/sv_SE/alma/medium/MODEL_CARD +0 -15
  49. sv/sv_SE/alma/medium/samples/speaker_0.mp3 +0 -3
  50. sv/sv_SE/alma/medium/sv_SE-alma-medium.onnx +0 -3
_script/voicefest.py CHANGED
@@ -19,7 +19,6 @@ class Language:
19
 
20
  _LANGUAGES = {
21
  "ar_JO": Language("العربية", "Arabic", "Jordan"),
22
- "bg_BG": Language("български", "Bulgarian", "Bulgaria"),
23
  "ca_ES": Language("Català", "Catalan", "Spain"),
24
  "cs_CZ": Language("Čeština", "Czech", "Czech Republic"),
25
  "cy_GB": Language("Cymraeg", "Welsh", "Great Britain"),
@@ -31,7 +30,6 @@ _LANGUAGES = {
31
  "es_AR": Language("Español", "Spanish", "Argentina"),
32
  "es_ES": Language("Español", "Spanish", "Spain"),
33
  "es_MX": Language("Español", "Spanish", "Mexico"),
34
- "eu_ES": Language("Euskara", "Basque", "Spain"),
35
  "fa_IR": Language("فارسی", "Farsi", "Iran"),
36
  "fi_FI": Language("Suomi", "Finnish", "Finland"),
37
  "fr_FR": Language("Français", "French", "France"),
@@ -43,7 +41,6 @@ _LANGUAGES = {
43
  "hu_HU": Language("Magyar", "Hungarian", "Hungary"),
44
  "ka_GE": Language("ქართული ენა", "Georgian", "Georgia"),
45
  "kk_KZ": Language("қазақша", "Kazakh", "Kazakhstan"),
46
- "ku_TR": Language("Kurmancî", "Kurmanji Kurdish", "Turkey"),
47
  "lb_LU": Language("Lëtzebuergesch", "Luxembourgish", "Luxembourg"),
48
  "lv_LV": Language("Latviešu", "Latvian", "Latvia"),
49
  "ne_NP": Language("नेपाली", "Nepali", "Nepal"),
@@ -58,14 +55,12 @@ _LANGUAGES = {
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  "ru_RU": Language("Русский", "Russian", "Russia"),
59
  "sk_SK": Language("Slovenčina", "Slovak", "Slovakia"),
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  "sl_SI": Language("Slovenščina", "Slovenian", "Slovenia"),
61
- "sq_AL": Language("shqip", "Albanian", "Albania"),
62
  "sr_RS": Language("srpski", "Serbian", "Serbia"),
63
  "sv_SE": Language("Svenska", "Swedish", "Sweden"),
64
  "sw_CD": Language("Kiswahili", "Swahili", "Democratic Republic of the Congo"),
65
  "te_IN": Language("తెలుగు", "Telugu", "India"),
66
  "tr_TR": Language("Türkçe", "Turkish", "Turkey"),
67
  "uk_UA": Language("украї́нська мо́ва", "Ukrainian", "Ukraine"),
68
- "ur_PK": Language("اردو", "Urdu", "Pakistan"),
69
  "vi_VN": Language("Tiếng Việt", "Vietnamese", "Vietnam"),
70
  "zh_CN": Language("简体中文", "Chinese", "China"),
71
  }
 
19
 
20
  _LANGUAGES = {
21
  "ar_JO": Language("العربية", "Arabic", "Jordan"),
 
22
  "ca_ES": Language("Català", "Catalan", "Spain"),
23
  "cs_CZ": Language("Čeština", "Czech", "Czech Republic"),
24
  "cy_GB": Language("Cymraeg", "Welsh", "Great Britain"),
 
30
  "es_AR": Language("Español", "Spanish", "Argentina"),
31
  "es_ES": Language("Español", "Spanish", "Spain"),
32
  "es_MX": Language("Español", "Spanish", "Mexico"),
 
33
  "fa_IR": Language("فارسی", "Farsi", "Iran"),
34
  "fi_FI": Language("Suomi", "Finnish", "Finland"),
35
  "fr_FR": Language("Français", "French", "France"),
 
41
  "hu_HU": Language("Magyar", "Hungarian", "Hungary"),
42
  "ka_GE": Language("ქართული ენა", "Georgian", "Georgia"),
43
  "kk_KZ": Language("қазақша", "Kazakh", "Kazakhstan"),
 
44
  "lb_LU": Language("Lëtzebuergesch", "Luxembourgish", "Luxembourg"),
45
  "lv_LV": Language("Latviešu", "Latvian", "Latvia"),
46
  "ne_NP": Language("नेपाली", "Nepali", "Nepal"),
 
55
  "ru_RU": Language("Русский", "Russian", "Russia"),
56
  "sk_SK": Language("Slovenčina", "Slovak", "Slovakia"),
57
  "sl_SI": Language("Slovenščina", "Slovenian", "Slovenia"),
 
58
  "sr_RS": Language("srpski", "Serbian", "Serbia"),
59
  "sv_SE": Language("Svenska", "Swedish", "Sweden"),
60
  "sw_CD": Language("Kiswahili", "Swahili", "Democratic Republic of the Congo"),
61
  "te_IN": Language("తెలుగు", "Telugu", "India"),
62
  "tr_TR": Language("Türkçe", "Turkish", "Turkey"),
63
  "uk_UA": Language("украї́нська мо́ва", "Ukrainian", "Ukraine"),
 
64
  "vi_VN": Language("Tiếng Việt", "Vietnamese", "Vietnam"),
65
  "zh_CN": Language("简体中文", "Chinese", "China"),
66
  }
bg/bg_BG/dimitar/medium/MODEL_CARD DELETED
@@ -1,15 +0,0 @@
1
- # Model card for dimitar (medium)
2
-
3
- * Language: bg_BG (Bulgarian, Bulgaria)
4
- * Speakers: 1
5
- * Quality: medium
6
- * Samplerate: 22,050Hz
7
-
8
- ## Dataset
9
-
10
- * URL: https://github.com/OHF-Voice/voice-datasets
11
- * License: CC0
12
-
13
- ## Training
14
-
15
- Finetuned from U.S. English lessac voice (medium quality)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bg/bg_BG/dimitar/medium/bg_BG-dimitar-medium.onnx.json DELETED
@@ -1,517 +0,0 @@
1
- {
2
- "audio": {
3
- "sample_rate": 22050,
4
- "quality": "medium"
5
- },
6
- "espeak": {
7
- "voice": "bg"
8
- },
9
- "phoneme_type": "espeak",
10
- "num_symbols": 256,
11
- "num_speakers": 1,
12
- "inference": {
13
- "noise_scale": 0.667,
14
- "length_scale": 1.0,
15
- "noise_w": 0.8
16
- },
17
- "phoneme_id_map": {
18
- "_": [
19
- 0
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- ],
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- "^": [
22
- 1
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- ],
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- "$": [
25
- 2
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- ],
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- " ": [
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- 3
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- ],
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- "!": [
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- 4
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- ],
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- "'": [
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- 5
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- ],
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- "(": [
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- 6
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- ],
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- ")": [
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- 7
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- ],
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- ",": [
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- 8
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- ],
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- "-": [
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- 9
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- ],
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- ".": [
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- 10
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- ],
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- ":": [
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- 11
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- ],
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- ";": [
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- 12
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- ],
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- "?": [
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- 13
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- ],
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- "a": [
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- 14
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- ],
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- "b": [
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- 15
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- ],
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- "c": [
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- 16
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- ],
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- "d": [
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- 17
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- ],
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- "e": [
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- 18
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- ],
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- "f": [
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- 19
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- ],
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- "h": [
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- 20
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- ],
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- "i": [
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- 21
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- ],
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- "j": [
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- 22
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- ],
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- "k": [
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- 23
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- ],
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- "l": [
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- 24
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- ],
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- "m": [
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- 25
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- ],
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- "n": [
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- 26
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- ],
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- "o": [
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- 27
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- ],
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- "p": [
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- 28
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- ],
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- "q": [
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- 29
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- ],
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- "r": [
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- 30
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- ],
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- "s": [
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- 31
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- ],
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- "t": [
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- 32
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- ],
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- "u": [
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- 33
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- ],
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- "v": [
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- 34
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- ],
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- "w": [
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- 35
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- ],
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- "x": [
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- 36
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- ],
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- "y": [
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- 37
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- ],
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- "z": [
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- 38
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- ],
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- "æ": [
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- 39
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- ],
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- "ç": [
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- 40
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- ],
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- "ð": [
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- 41
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- ],
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- "ø": [
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- 42
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- ],
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- "ħ": [
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- 43
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- ],
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- "ŋ": [
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- 44
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- ],
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- "œ": [
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- 45
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- ],
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- "ǀ": [
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- 46
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- ],
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- "ǁ": [
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- 47
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- ],
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- "ǂ": [
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- 48
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- ],
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- "ǃ": [
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- 49
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- ],
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- "ɐ": [
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- 50
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- ],
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- "ɑ": [
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- 51
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- ],
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- "ɒ": [
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- 52
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- ],
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- "ɓ": [
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- 53
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- ],
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- "ɔ": [
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- 54
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- ],
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- "ɕ": [
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- 55
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- ],
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- "ɖ": [
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- 56
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- ],
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- "ɗ": [
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- 57
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- ],
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- "ɘ": [
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- 58
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- ],
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- "ə": [
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- 59
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- ],
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- "ɚ": [
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- 60
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- ],
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- "ɛ": [
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- 61
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- ],
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- "ɜ": [
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- 62
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- ],
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- "ɞ": [
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- 63
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- ],
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- "ɟ": [
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- 64
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- ],
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- "ɠ": [
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- 65
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- ],
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- "ɡ": [
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- 66
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- ],
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- "ɢ": [
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- 67
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- ],
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- "ɣ": [
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- 68
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- ],
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- "ɤ": [
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- 69
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- ],
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- "ɥ": [
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- 70
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- ],
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- "ɦ": [
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- 71
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- ],
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- "ɧ": [
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- ],
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- "ɨ": [
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- ],
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- "ɪ": [
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- ],
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- "ɫ": [
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- 75
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- ],
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- "ɬ": [
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- 76
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- ],
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- "ɭ": [
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- 77
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- ],
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- "ɮ": [
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- 78
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- ],
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- "ɯ": [
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- 79
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- ],
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- "ɰ": [
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- 80
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- ],
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- "ɱ": [
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- ],
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- "ɲ": [
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- 82
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- ],
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- "ɳ": [
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- ],
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- "ɴ": [
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- 84
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- ],
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- "ɵ": [
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- 85
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- ],
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- "ɶ": [
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- 86
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- ],
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- "ɸ": [
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- 87
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- ],
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- "ɹ": [
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- 88
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- ],
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- "ɺ": [
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- 89
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- ],
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- "ɻ": [
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- 90
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- ],
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- "ɽ": [
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- 91
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- ],
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- "ɾ": [
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- 92
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- ],
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- "ʀ": [
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- 93
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- ],
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- "ʁ": [
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- ],
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- "ʂ": [
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- 95
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- ],
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- "ʃ": [
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- 96
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- ],
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- "ʄ": [
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- 97
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- ],
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- "ʈ": [
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- 98
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- ],
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- "ʉ": [
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- 99
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- ],
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- "ʊ": [
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- 100
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- ],
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- "ʋ": [
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- 101
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- ],
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- "ʌ": [
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- 102
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- ],
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- "ʍ": [
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- 103
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- ],
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- "ʎ": [
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- 104
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- ],
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- "ʏ": [
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- 105
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- ],
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- "ʐ": [
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- 106
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- ],
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- "ʑ": [
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- 107
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- ],
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- "ʒ": [
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- 108
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- ],
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- "ʔ": [
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- 109
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- ],
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- "ʕ": [
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- 110
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- ],
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- "ʘ": [
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- 111
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- ],
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- "ʙ": [
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- 112
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- ],
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- "ʛ": [
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- 113
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- ],
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- "ʜ": [
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- 114
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- ],
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- "ʝ": [
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- 115
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- ],
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- "ʟ": [
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- 116
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- ],
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- "ʡ": [
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- ],
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- "ʢ": [
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- ],
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- "ʲ": [
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- 119
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- ],
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- "ˈ": [
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- 120
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- ],
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- "ˌ": [
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- 121
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- ],
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- "ː": [
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- ],
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- "ˑ": [
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- ],
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- "˞": [
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- ],
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- "β": [
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- "θ": [
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- "χ": [
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- "ᵻ": [
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- ],
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- "ⱱ": [
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- 129
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- ],
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- "0": [
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- 130
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- ],
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- "1": [
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- ],
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- "2": [
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- ],
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- "3": [
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- ],
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- "4": [
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- ],
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- "5": [
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- "6": [
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- "7": [
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- ],
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- "8": [
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- ],
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- "9": [
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- ],
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- "̧": [
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- ],
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- "̃": [
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- ],
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- "̪": [
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- ],
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- "̯": [
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- ],
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- "̩": [
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- ],
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- "ʰ": [
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- ],
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- "ˤ": [
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- ],
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- "ε": [
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- 147
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- ],
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- "↓": [
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- 148
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- ],
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- "#": [
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- 149
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- ],
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- "\"": [
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- 150
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- ],
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- "↑": [
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- 151
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- ],
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- "̺": [
475
- 152
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- ],
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- "̻": [
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- 153
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- ],
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- "g": [
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- 154
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- ],
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- "ʦ": [
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- 155
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- ],
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- "X": [
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- 156
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- ],
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- "̝": [
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- 157
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- ],
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- "̊": [
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- 158
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- ],
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- "ɝ": [
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- 159
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- ],
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- "ʷ": [
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- 160
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- ],
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- "͡": [
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- 161
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- ]
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- },
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- "speaker_id_map": {},
506
- "hop_length": 256,
507
- "piper_version": "1.3.0",
508
- "language": {
509
- "code": "bg_BG",
510
- "family": "bg",
511
- "region": "BG",
512
- "name_native": "български",
513
- "name_english": "Bulgarian",
514
- "country_english": "Bulgaria"
515
- },
516
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- size 132411
 
 
 
 
hu/hu_HU/anna/medium/MODEL_CARD CHANGED
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8
  ## Dataset
9
 
10
- * URL: https://github.com/OHF-Voice/voice-datasets
11
  * License: CC0
12
 
13
  ## Training
 
7
 
8
  ## Dataset
9
 
10
+ * URL: https://github.com/NabuCasa/voice-datasets
11
  * License: CC0
12
 
13
  ## Training
hu/hu_HU/berta/medium/MODEL_CARD CHANGED
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  ## Dataset
9
 
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- * URL: https://github.com/OHF-Voice/voice-datasets
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  * License: CC0
12
 
13
  ## Training
 
7
 
8
  ## Dataset
9
 
10
+ * URL: https://github.com/NabuCasa/voice-datasets
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  * License: CC0
12
 
13
  ## Training
hu/hu_HU/imre/medium/MODEL_CARD CHANGED
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7
 
8
  ## Dataset
9
 
10
- * URL: https://github.com/OHF-Voice/voice-datasets
11
  * License: CC0
12
 
13
  ## Training
 
7
 
8
  ## Dataset
9
 
10
+ * URL: https://github.com/NabuCasa/voice-datasets
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  * License: CC0
12
 
13
  ## Training
ku/ku_TR/berfin_renas/medium/MODEL_CARD DELETED
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- ---
2
- language:
3
- - ku
4
- license: cc-by-nc-4.0
5
- tags:
6
- - text-to-speech
7
- - tts
8
- - piper
9
- - kurdish
10
- - kurmanji
11
- - vits
12
- datasets:
13
- - berfin_renas
14
- metrics:
15
- - wer
16
- base_model: rhasspy/piper-voices
17
- pipeline_tag: text-to-speech
18
- ---
19
-
20
- # Model Card for ku-berfin_renas-medium
21
-
22
- A multi-speaker Kurmanji Kurdish (Kurmancî) text-to-speech model trained
23
- with the [Piper TTS](https://github.com/OHF-Voice/piper1) framework.
24
- Supports two speakers — **Berfin** (speaker 0) and **Renas** (speaker 1) —
25
- at medium quality and 22,050 Hz sample rate.
26
-
27
- ## Model Details
28
-
29
- ### Model Description
30
-
31
- - **Developed by:** rojanu
32
- - **Model type:** VITS (Variational Inference with adversarial learning for
33
- end-to-end Text-to-Speech)
34
- - **Language(s):** Kurmanji Kurdish (`ku`)
35
- - **License:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — free for non-commercial use with attribution; commercial use restricted due to [Blizzard 2013 base model](https://www.cstr.ed.ac.uk/projects/blizzard/2013/lessac_blizzard2013/license.html)
36
- - **Finetuned from model:** `en_US-lessac-medium` (Piper English vocoder
37
- warm-start)
38
-
39
- ### Model Sources
40
-
41
- - **Repository:** [rojanu/piper-ku-berfin-renas-medium](https://huggingface.co/rojanu/piper-ku-berfin-renas-medium)
42
- - **Framework:** [OHF-Voice/piper1](https://github.com/OHF-Voice/piper1)
43
-
44
- ## Speakers
45
-
46
- | Speaker ID | Name |
47
- |------------|--------|
48
- | 0 | Berfin |
49
- | 1 | Renas |
50
-
51
- ## Uses
52
-
53
- ### Direct Use
54
-
55
- Offline, on-device Kurmanji Kurdish speech synthesis. Designed for:
56
-
57
- - Screen readers (e.g. NVDA with the [piper-nvda addon](https://github.com/mzanm/piper-nvda))
58
- - Assistive technology
59
- - Voice interfaces for Kurdish-language applications
60
-
61
- ### Out-of-Scope Use
62
-
63
- - Languages other than Kurmanji Kurdish
64
- - High-fidelity / broadcast-quality synthesis (this is a medium-quality model)
65
-
66
- ## How to Get Started with the Model
67
-
68
- ### With Piper CLI
69
-
70
- ```bash
71
- echo "Silav û rêz ji hemûyan re." | piper \
72
- --model ku-berfin_renas-medium.onnx \
73
- --speaker 0 \
74
- --output_file output.wav
75
- ```
76
-
77
- ### With NVDA
78
-
79
- Install the [piper-nvda addon](https://github.com/mzanm/piper-nvda) and use
80
- the direct download URL:
81
-
82
- ```
83
- https://huggingface.co/rojanu/piper-ku-berfin-renas-medium/resolve/main/ku-berfin_renas-medium.tar.gz
84
- ```
85
-
86
- ## Training Details
87
-
88
- ### Training Data
89
-
90
- A private dataset of two Kurmanji Kurdish speakers (**Berfin** and **Renas**),
91
- approximately 2.72 hours total (1.32h Berfin, 1.40h Renas), recorded at
92
- 22,050 Hz.
93
-
94
- | Speaker | Files | Duration |
95
- |---------|-------|-----------|
96
- | Berfin | 1,022 | 1.32 hours |
97
- | Renas | 1,024 | 1.40 hours |
98
- | **Total** | **2,046** | **2.72 hours** |
99
-
100
- ### Training Procedure
101
-
102
- #### Preprocessing
103
-
104
- - Audio normalised to 22,050 Hz mono WAV
105
- - Text phonemized via `espeak-ng` with voice `ku`
106
- - Average utterance duration: ~4.79 seconds
107
-
108
- #### Training Hyperparameters
109
-
110
- - **Training regime:** fp32
111
- - **Framework:** Piper / PyTorch Lightning
112
- - **Base checkpoint:** `en_US-lessac-medium` (vocoder warm-start)
113
- - **Batch size:** 32
114
- - **Max epochs:** 929 (training stopped; best validation at ~epoch 72)
115
- - **Hardware:** AMD ROCm GPU
116
- - **Validation split:** 5%
117
-
118
- ## Evaluation
119
-
120
- ### Results
121
-
122
- The model shows signs of overfitting due to the small dataset (~2.7h total).
123
- Best validation loss was achieved at approximately epoch 72. Audio quality is
124
- intelligible but benefits from additional training data.
125
-
126
- **Known limitations:**
127
- - Dataset too small for high-quality multi-speaker TTS (recommend ≥ 3h per speaker)
128
- - Overfitting observed after epoch ~72
129
-
130
- ## Technical Specifications
131
-
132
- ### Model Architecture
133
-
134
- - **Architecture:** VITS medium
135
- - **Sample rate:** 22,050 Hz
136
- - **Phoneme type:** espeak (`ku`)
137
- - **Number of speakers:** 2
138
- - **Model size:** ~77 MB (ONNX)
139
-
140
- ## Model Card Authors
141
-
142
- rojanu
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
sv/sv_SE/alma/medium/MODEL_CARD DELETED
@@ -1,15 +0,0 @@
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- # Model card for alma (medium)
2
-
3
- * Language: sv_SE (Swedish, Sweden)
4
- * Speakers: 1
5
- * Quality: medium
6
- * Samplerate: 22,050Hz
7
- * URL: https://huggingface.co/yeagersthlm/piper-voice-sv-alma
8
-
9
- ## License
10
-
11
- The model weights are released under CC BY 4.0, following the license of the NST training data.
12
-
13
- ## Training
14
-
15
- Trained on the NST Swedish TTS Dataset (Språkbanken, National Library of Norway). The dataset contains high-quality studio recordings of Swedish speech.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
sv/sv_SE/alma/medium/samples/speaker_0.mp3 DELETED
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:bc8833546930d5d222c47f700fade3feb58ccaac69a3851245ebd2e7749a8132
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- size 76596
 
 
 
 
sv/sv_SE/alma/medium/sv_SE-alma-medium.onnx DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:f75455eb6afeb1db9e2905d5bd7e4115afcd3710e0d399b6a40981766d32fedc
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- size 63434611