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checkpoints/base_speakers/EN_V2/README.md

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+---
+license: mit
+language:
+- ko
+pipeline_tag: text-to-speech
+---
+
+# MeloTTS
+
+MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
+
+
+| Model card | Example |
+| --- | --- |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+| [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) |
+
+Some other features include:
+- The Chinese speaker supports `mixed Chinese and English`.
+- Fast enough for `CPU real-time inference`.
+
+
+## Usage
+
+### Without Installation
+
+An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
+
+#### Use it on MyShell
+
+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).
+More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop).
+
+### Install and Use Locally
+
+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:
+
+```python
+from melo.api import TTS
+
+# Speed is adjustable
+speed = 1.0
+
+# CPU is sufficient for real-time inference.
+# You can set it manually to 'cpu' or 'cuda' or 'cuda:0' or 'mps'
+device = 'auto' # Will automatically use GPU if available
+
+# English 
+text = "Did you ever hear a folk tale about a giant turtle?"
+model = TTS(language='EN_V2', device=device)
+speaker_ids = model.hps.data.spk2id
+
+# American accent
+output_path = 'en-us.wav'
+model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed)
+
+# British accent
+output_path = 'en-br.wav'
+model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed)
+
+# Indian accent
+output_path = 'en-india.wav'
+model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed)
+
+# Australian accent
+output_path = 'en-au.wav'
+model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed)
+
+# Default accent
+output_path = 'en-default.wav'
+model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed)
+
+```
+
+
+## Join the Community
+
+**Open Source AI Grant**
+
+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.
+
+**Contributing**
+
+If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS).
+
+- Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
+
+## License
+
+This library is under MIT License, which means it is free for both commercial and non-commercial use.
+
+## Acknowledgements
+
+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.
+

checkpoints/base_speakers/EN_V2/checkpoint.pth

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+oid sha256:794226eb7c1745f3ca281b290613d5f39aa5b0d3b16a117009966f4aaf184757
+size 207769356

checkpoints/base_speakers/EN_V2/config.json

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+{
+  "train": {
+    "segment_size": 16384
+  },
+  "data": {
+    "sampling_rate": 44100,
+    "filter_length": 2048,
+    "hop_length": 512,
+    "add_blank": true,
+    "n_speakers": 256,
+    "spk2id": {
+      "EN-US": 0,
+      "EN-BR": 1,
+      "EN-INDIA": 2,
+      "EN-AU": 4
+    }
+  },
+  "model": {
+    "use_spk_conditioned_encoder": true,
+    "use_noise_scaled_mas": true,
+    "use_mel_posterior_encoder": false,
+    "use_duration_discriminator": true,
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "n_layers_trans_flow": 3,
+    "kernel_size": 3,
+    "p_dropout": 0.1,
+    "resblock": "1",
+    "resblock_kernel_sizes": [
+      3,
+      7,
+      11
+    ],
+    "resblock_dilation_sizes": [
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ]
+    ],
+    "upsample_rates": [
+      8,
+      8,
+      2,
+      2,
+      2
+    ],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [
+      16,
+      16,
+      8,
+      2,
+      2
+    ],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256
+  },
+  "symbols": [
+    "_",
+    "AA",
+    "E",
+    "EE",
+    "En",
+    "N",
+    "OO",
+    "V",
+    "a",
+    "a:",
+    "aa",
+    "ae",
+    "ah",
+    "ai",
+    "an",
+    "ang",
+    "ao",
+    "aw",
+    "ay",
+    "b",
+    "by",
+    "c",
+    "ch",
+    "d",
+    "dh",
+    "dy",
+    "e",
+    "e:",
+    "eh",
+    "ei",
+    "en",
+    "eng",
+    "er",
+    "ey",
+    "f",
+    "g",
+    "gy",
+    "h",
+    "hh",
+    "hy",
+    "i",
+    "i0",
+    "i:",
+    "ia",
+    "ian",
+    "iang",
+    "iao",
+    "ie",
+    "ih",
+    "in",
+    "ing",
+    "iong",
+    "ir",
+    "iu",
+    "iy",
+    "j",
+    "jh",
+    "k",
+    "ky",
+    "l",
+    "m",
+    "my",
+    "n",
+    "ng",
+    "ny",
+    "o",
+    "o:",
+    "ong",
+    "ou",
+    "ow",
+    "oy",
+    "p",
+    "py",
+    "q",
+    "r",
+    "ry",
+    "s",
+    "sh",
+    "t",
+    "th",
+    "ts",
+    "ty",
+    "u",
+    "u:",
+    "ua",
+    "uai",
+    "uan",
+    "uang",
+    "uh",
+    "ui",
+    "un",
+    "uo",
+    "uw",
+    "v",
+    "van",
+    "ve",
+    "vn",
+    "w",
+    "x",
+    "y",
+    "z",
+    "zh",
+    "zy",
+    "!",
+    "?",
+    "…",
+    ",",
+    ".",
+    "'",
+    "-",
+    "SP",
+    "UNK"
+  ],
+  "num_tones": 11,
+  "num_languages": 3
+}