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MeloTTS (en, es, fr, ja, ko, ms, vi, zh/en)

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  1. .gitattributes +44 -0
  2. en/MeloTTS-English-ax630c/.gitattributes +38 -0
  3. en/MeloTTS-English-ax630c/README.md +3 -0
  4. en/MeloTTS-English-ax630c/decoder-en-au.axmodel +3 -0
  5. en/MeloTTS-English-ax630c/decoder-en-br.axmodel +3 -0
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  8. en/MeloTTS-English-ax630c/decoder-en-us.axmodel +3 -0
  9. en/MeloTTS-English-ax630c/en_tn_tagger.fst +3 -0
  10. en/MeloTTS-English-ax630c/en_tn_verbalizer.fst +3 -0
  11. en/MeloTTS-English-ax630c/encoder-en.onnx +3 -0
  12. en/MeloTTS-English-ax630c/g-en-au.bin +3 -0
  13. en/MeloTTS-English-ax630c/g-en-br.bin +3 -0
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  15. en/MeloTTS-English-ax630c/g-en-india.bin +3 -0
  16. en/MeloTTS-English-ax630c/g-en-us.bin +3 -0
  17. en/MeloTTS-English-ax630c/lexicon-en.txt +3 -0
  18. en/MeloTTS-English-ax630c/source.txt +1 -0
  19. en/MeloTTS-English-ax630c/tokens-en.txt +219 -0
  20. en/MeloTTS-English-ax650/.gitattributes +38 -0
  21. en/MeloTTS-English-ax650/README.md +3 -0
  22. en/MeloTTS-English-ax650/decoder-en-au.axmodel +3 -0
  23. en/MeloTTS-English-ax650/decoder-en-br.axmodel +3 -0
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  25. en/MeloTTS-English-ax650/decoder-en-india.axmodel +3 -0
  26. en/MeloTTS-English-ax650/decoder-en-us.axmodel +3 -0
  27. en/MeloTTS-English-ax650/en_tn_tagger.fst +3 -0
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  34. en/MeloTTS-English-ax650/g-en-us.bin +3 -0
  35. en/MeloTTS-English-ax650/lexicon-en.txt +3 -0
  36. en/MeloTTS-English-ax650/source.txt +1 -0
  37. en/MeloTTS-English-ax650/tokens-en.txt +219 -0
  38. en/MeloTTS-English-v2/.gitattributes +35 -0
  39. en/MeloTTS-English-v2/README.md +103 -0
  40. en/MeloTTS-English-v2/checkpoint.pth +3 -0
  41. en/MeloTTS-English-v2/config.json +189 -0
  42. en/MeloTTS-English-v2/source.txt +1 -0
  43. en/MeloTTS-English-v3/.gitattributes +35 -0
  44. en/MeloTTS-English-v3/README.md +83 -0
  45. en/MeloTTS-English-v3/checkpoint.pth +3 -0
  46. en/MeloTTS-English-v3/config.json +293 -0
  47. en/MeloTTS-English-v3/source.txt +1 -0
  48. en/MeloTTS-English/.gitattributes +35 -0
  49. en/MeloTTS-English/README.md +124 -0
  50. en/MeloTTS-English/checkpoint.pth +3 -0
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1
+ ---
2
+ license: mit
3
+ language:
4
+ - ko
5
+ pipeline_tag: text-to-speech
6
+ ---
7
+
8
+ # MeloTTS
9
+
10
+ MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
11
+
12
+
13
+ | Model card | Example |
14
+ | --- | --- |
15
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
16
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (British) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
17
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Indian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
18
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Australian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
19
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Default) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
20
+ | [Spanish](https://huggingface.co/myshell-ai/MeloTTS-Spanish) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
21
+ | [French](https://huggingface.co/myshell-ai/MeloTTS-French) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
22
+ | [Chinese](https://huggingface.co/myshell-ai/MeloTTS-Chinese) (mix EN) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
23
+ | [Japanese](https://huggingface.co/myshell-ai/MeloTTS-Japanese) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
24
+ | [Korean](https://huggingface.co/myshell-ai/MeloTTS-Korean/) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |
25
+
26
+ Some other features include:
27
+ - The Chinese speaker supports `mixed Chinese and English`.
28
+ - Fast enough for `CPU real-time inference`.
29
+
30
+
31
+ ## Usage
32
+
33
+ ### Without Installation
34
+
35
+ An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
36
+
37
+ #### Use it on MyShell
38
+
39
+ There are hundreds of TTS models on MyShell, much more than MeloTTS. See examples [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/quick_use.md#use-melotts-without-installation).
40
+ More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop).
41
+
42
+ ### Install and Use Locally
43
+
44
+ Follow the installation steps [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install) before using the following snippet:
45
+
46
+ ```python
47
+ from melo.api import TTS
48
+
49
+ # Speed is adjustable
50
+ speed = 1.0
51
+
52
+ # CPU is sufficient for real-time inference.
53
+ # You can set it manually to 'cpu' or 'cuda' or 'cuda:0' or 'mps'
54
+ device = 'auto' # Will automatically use GPU if available
55
+
56
+ # English
57
+ text = "Did you ever hear a folk tale about a giant turtle?"
58
+ model = TTS(language='EN_V2', device=device)
59
+ speaker_ids = model.hps.data.spk2id
60
+
61
+ # American accent
62
+ output_path = 'en-us.wav'
63
+ model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed)
64
+
65
+ # British accent
66
+ output_path = 'en-br.wav'
67
+ model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed)
68
+
69
+ # Indian accent
70
+ output_path = 'en-india.wav'
71
+ model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed)
72
+
73
+ # Australian accent
74
+ output_path = 'en-au.wav'
75
+ model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed)
76
+
77
+ # Default accent
78
+ output_path = 'en-default.wav'
79
+ model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed)
80
+
81
+ ```
82
+
83
+
84
+ ## Join the Community
85
+
86
+ **Open Source AI Grant**
87
+
88
+ We are actively sponsoring open-source AI projects. The sponsorship includes GPU resources, fundings and intellectual support (collaboration with top research labs). We welcome both reseach and engineering projects, as long as the open-source community needs them. Please contact [Zengyi Qin](https://www.qinzy.tech/) if you are interested.
89
+
90
+ **Contributing**
91
+
92
+ If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS).
93
+
94
+ - Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
95
+
96
+ ## License
97
+
98
+ This library is under MIT License, which means it is free for both commercial and non-commercial use.
99
+
100
+ ## Acknowledgements
101
+
102
+ This implementation is based on [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work.
103
+
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1
+ ---
2
+ license: mit
3
+ ---
4
+
5
+ # MeloTTS
6
+
7
+ MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
8
+
9
+
10
+ | Model card | Example |
11
+ | --- | --- |
12
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
13
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (British) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
14
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Indian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
15
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Australian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
16
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Default) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
17
+ | [Spanish](https://huggingface.co/myshell-ai/MeloTTS-Spanish) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
18
+ | [French](https://huggingface.co/myshell-ai/MeloTTS-French) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
19
+ | [Chinese](https://huggingface.co/myshell-ai/MeloTTS-Chinese) (mix EN) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
20
+ | [Japanese](https://huggingface.co/myshell-ai/MeloTTS-Japanese) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
21
+ | [Korean](https://huggingface.co/myshell-ai/MeloTTS-Korean/) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |
22
+
23
+ Some other features include:
24
+ - The Chinese speaker supports `mixed Chinese and English`.
25
+ - Fast enough for `CPU real-time inference`.
26
+
27
+
28
+ ## Usage
29
+
30
+ ### Without Installation
31
+
32
+ An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
33
+
34
+ #### Use it on MyShell
35
+
36
+ There are hundreds of TTS models on MyShell, much more than MeloTTS. See examples [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/quick_use.md#use-melotts-without-installation).
37
+ More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop).
38
+
39
+ ### Install and Use Locally
40
+
41
+ Follow the installation steps [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install) before using the following snippet:
42
+
43
+ ```python
44
+ from melo.api import TTS
45
+
46
+ # Speed is adjustable
47
+ speed = 1.0
48
+
49
+ # CPU is sufficient for real-time inference.
50
+ # You can set it manually to 'cpu' or 'cuda' or 'cuda:0' or 'mps'
51
+ device = 'auto' # Will automatically use GPU if available
52
+
53
+ # English
54
+ text = "Did you ever hear a folk tale about a giant turtle?"
55
+ model = TTS(language='EN_NEWEST', device=device)
56
+ speaker_ids = model.hps.data.spk2id
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+
58
+ output_path = 'en-newest.wav'
59
+ model.tts_to_file(text, speaker_ids['EN-Newest'], output_path, speed=speed)
60
+
61
+ ```
62
+
63
+
64
+ ## Join the Community
65
+
66
+ **Open Source AI Grant**
67
+
68
+ We are actively sponsoring open-source AI projects. The sponsorship includes GPU resources, fundings and intellectual support (collaboration with top research labs). We welcome both reseach and engineering projects, as long as the open-source community needs them. Please contact [Zengyi Qin](https://www.qinzy.tech/) if you are interested.
69
+
70
+ **Contributing**
71
+
72
+ If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS).
73
+
74
+ - Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
75
+
76
+ ## License
77
+
78
+ This library is under MIT License, which means it is free for both commercial and non-commercial use.
79
+
80
+ ## Acknowledgements
81
+
82
+ This implementation is based on [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work.
83
+
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+ "ɵ",
213
+ "ɸ",
214
+ "ɹ",
215
+ "ɾ",
216
+ "ʁ",
217
+ "ʃ",
218
+ "ʊ",
219
+ "ʌ",
220
+ "ʎ",
221
+ "ʏ",
222
+ "ʑ",
223
+ "ʒ",
224
+ "ʝ",
225
+ "ʲ",
226
+ "ˈ",
227
+ "ˌ",
228
+ "ː",
229
+ "̃",
230
+ "̩",
231
+ "β",
232
+ "θ",
233
+ "ᄀ",
234
+ "ᄁ",
235
+ "ᄂ",
236
+ "ᄃ",
237
+ "ᄄ",
238
+ "ᄅ",
239
+ "ᄆ",
240
+ "ᄇ",
241
+ "ᄈ",
242
+ "ᄉ",
243
+ "ᄊ",
244
+ "ᄋ",
245
+ "ᄌ",
246
+ "ᄍ",
247
+ "ᄎ",
248
+ "ᄏ",
249
+ "ᄐ",
250
+ "ᄑ",
251
+ "ᄒ",
252
+ "ᅡ",
253
+ "ᅢ",
254
+ "ᅣ",
255
+ "ᅤ",
256
+ "ᅥ",
257
+ "ᅦ",
258
+ "ᅧ",
259
+ "ᅨ",
260
+ "ᅩ",
261
+ "ᅪ",
262
+ "ᅫ",
263
+ "ᅬ",
264
+ "ᅭ",
265
+ "ᅮ",
266
+ "ᅯ",
267
+ "ᅰ",
268
+ "ᅱ",
269
+ "ᅲ",
270
+ "ᅳ",
271
+ "ᅴ",
272
+ "ᅵ",
273
+ "ᆨ",
274
+ "ᆫ",
275
+ "ᆮ",
276
+ "ᆯ",
277
+ "ᆷ",
278
+ "ᆸ",
279
+ "ᆼ",
280
+ "ㄸ",
281
+ "!",
282
+ "?",
283
+ "…",
284
+ ",",
285
+ ".",
286
+ "'",
287
+ "-",
288
+ "¿",
289
+ "¡",
290
+ "SP",
291
+ "UNK"
292
+ ]
293
+ }
en/MeloTTS-English-v3/source.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ https://huggingface.co/myshell-ai/MeloTTS-English-v3
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en/MeloTTS-English/README.md ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ language:
4
+ - ko
5
+ pipeline_tag: text-to-speech
6
+ ---
7
+
8
+
9
+ # MeloTTS
10
+
11
+ <a href="https://trendshift.io/repositories/8133" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8133" alt="myshell-ai%2FMeloTTS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
12
+
13
+
14
+ MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MIT](https://www.mit.edu/) and [MyShell.ai](https://myshell.ai). Supported languages include:
15
+
16
+
17
+
18
+ | Model card | Example |
19
+ | --- | --- |
20
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
21
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (British) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
22
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Indian) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
23
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Australian) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
24
+ | [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Default) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
25
+ | [Spanish](https://huggingface.co/myshell-ai/MeloTTS-Spanish) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
26
+ | [French](https://huggingface.co/myshell-ai/MeloTTS-French) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
27
+ | [Chinese](https://huggingface.co/myshell-ai/MeloTTS-Chinese) (mix EN) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
28
+ | [Japanese](https://huggingface.co/myshell-ai/MeloTTS-Japanese) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
29
+ | [Korean](https://huggingface.co/myshell-ai/MeloTTS-Korean/) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |
30
+
31
+ Some other features include:
32
+ - The Chinese speaker supports `mixed Chinese and English`.
33
+ - Fast enough for `CPU real-time inference`.
34
+
35
+ ## Authors
36
+
37
+ - [Wenliang Zhao](https://wl-zhao.github.io) at Tsinghua University
38
+ - [Xumin Yu](https://yuxumin.github.io) at Tsinghua University
39
+ - [Zengyi Qin](https://www.qinzy.tech) (project lead) at MIT and MyShell
40
+
41
+ **Citation**
42
+ ```
43
+ @software{zhao2024melo,
44
+ author={Zhao, Wenliang and Yu, Xumin and Qin, Zengyi},
45
+ title = {MeloTTS: High-quality Multi-lingual Multi-accent Text-to-Speech},
46
+ url = {https://github.com/myshell-ai/MeloTTS},
47
+ year = {2023}
48
+ }
49
+ ```
50
+
51
+
52
+ ## Usage
53
+
54
+ ### Without Installation
55
+
56
+ An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
57
+
58
+ #### Use it on MyShell
59
+
60
+ There are hundreds of TTS models on MyShell, much more than MeloTTS. See examples [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/quick_use.md#use-melotts-without-installation).
61
+ More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop).
62
+
63
+ ### Install and Use Locally
64
+
65
+ Follow the installation steps [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install) before using the following snippet:
66
+
67
+ ```python
68
+ from melo.api import TTS
69
+
70
+ # Speed is adjustable
71
+ speed = 1.0
72
+
73
+ # CPU is sufficient for real-time inference.
74
+ # You can set it manually to 'cpu' or 'cuda' or 'cuda:0' or 'mps'
75
+ device = 'auto' # Will automatically use GPU if available
76
+
77
+ # English
78
+ text = "Did you ever hear a folk tale about a giant turtle?"
79
+ model = TTS(language='EN', device=device)
80
+ speaker_ids = model.hps.data.spk2id
81
+
82
+ # American accent
83
+ output_path = 'en-us.wav'
84
+ model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed)
85
+
86
+ # British accent
87
+ output_path = 'en-br.wav'
88
+ model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed)
89
+
90
+ # Indian accent
91
+ output_path = 'en-india.wav'
92
+ model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed)
93
+
94
+ # Australian accent
95
+ output_path = 'en-au.wav'
96
+ model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed)
97
+
98
+ # Default accent
99
+ output_path = 'en-default.wav'
100
+ model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed)
101
+
102
+ ```
103
+
104
+
105
+ ## Join the Community
106
+
107
+ **Open Source AI Grant**
108
+
109
+ We are actively sponsoring open-source AI projects. The sponsorship includes GPU resources, fundings and intellectual support (collaboration with top research labs). We welcome both reseach and engineering projects, as long as the open-source community needs them. Please contact [Zengyi Qin](https://www.qinzy.tech/) if you are interested.
110
+
111
+ **Contributing**
112
+
113
+ If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS).
114
+
115
+ - Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
116
+
117
+ ## License
118
+
119
+ This library is under MIT License, which means it is free for both commercial and non-commercial use.
120
+
121
+ ## Acknowledgements
122
+
123
+ This implementation is based on [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work.
124
+
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