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Merge branch 'main' of https://github.com/myshell-ai/OpenVoice into myshell-ai-main

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hay86
2024-05-14 11:55:48 +00:00
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.gitignore
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.ipynb_checkpoints/
processed
outputs
outputs_v2
checkpoints
checkpoints_v2
trash
.env
build
*.egg-info/
*.zip
*.zip
LICENSE
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@@ -1,333 +1,7 @@
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README.md
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```
## Download Checkpoints
All the models are downloaded automatically, no worries.
All the models are downloaded automatically, no worries.
demo_part1.ipynb
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"metadata": {},
"outputs": [],
"source": [
"reference_speaker = 'resources/example_reference.mp3'\n",
"reference_speaker = 'resources/example_reference.mp3' # This is the voice you want to clone\n",
"target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, target_dir='processed', vad=True)"
]
},
@@ -233,4 +233,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}
demo_part2.ipynb
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"base_speaker = f\"{output_dir}/openai_source_output.mp3\"\n",
"source_se, audio_name = se_extractor.get_se(base_speaker, tone_color_converter, vad=True)\n",
"\n",
"reference_speaker = 'resources/example_reference.mp3'\n",
"reference_speaker = 'resources/example_reference.mp3' # This is the voice you want to clone\n",
"target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=True)"
]
},
@@ -192,4 +192,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}
demo_part3.ipynb
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@@ -0,0 +1,143 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Multi-Accent and Multi-Lingual Voice Clone Demo with MeloTTS"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import torch\n",
"from openvoice import se_extractor\n",
"from openvoice.api import ToneColorConverter"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Initialization\n",
"\n",
"In this example, we will use the checkpoints from OpenVoiceV2. OpenVoiceV2 is trained with more aggressive augmentations and thus demonstrate better robustness in some cases."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ckpt_converter = 'checkpoints_v2/converter'\n",
"device = \"cuda:0\" if torch.cuda.is_available() else \"cpu\"\n",
"output_dir = 'outputs_v2'\n",
"\n",
"tone_color_converter = ToneColorConverter(f'{ckpt_converter}/config.json', device=device)\n",
"tone_color_converter.load_ckpt(f'{ckpt_converter}/checkpoint.pth')\n",
"\n",
"os.makedirs(output_dir, exist_ok=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Obtain Tone Color Embedding\n",
"We only extract the tone color embedding for the target speaker. The source tone color embeddings can be directly loaded from `checkpoints_v2/ses` folder."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"reference_speaker = 'resources/example_reference.mp3' # This is the voice you want to clone\n",
"target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Use MeloTTS as Base Speakers\n",
"\n",
"MeloTTS is a high-quality multi-lingual text-to-speech library by @MyShell.ai, supporting languages including English (American, British, Indian, Australian, Default), Spanish, French, Chinese, Japanese, Korean. In the following example, we will use the models in MeloTTS as the base speakers. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from melo.api import TTS\n",
"\n",
"texts = {\n",
" 'EN_NEWEST': \"Did you ever hear a folk tale about a giant turtle?\", # The newest English base speaker model\n",
" 'EN': \"Did you ever hear a folk tale about a giant turtle?\",\n",
" 'ES': \"El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.\",\n",
" 'FR': \"La lueur dorée du soleil caresse les vagues, peignant le ciel d'une palette éblouissante.\",\n",
" 'ZH': \"在这次vacation中，我们计划去Paris欣赏埃菲尔铁塔和卢浮宫的美景。\",\n",
" 'JP': \"彼は毎朝ジョギングをして体を健康に保っています。\",\n",
" 'KR': \"안녕하세요! 오늘은 날씨가 정말 좋네요.\",\n",
"}\n",
"\n",
"\n",
"src_path = f'{output_dir}/tmp.wav'\n",
"\n",
"# Speed is adjustable\n",
"speed = 1.0\n",
"\n",
"for language, text in texts.items():\n",
" model = TTS(language=language, device=device)\n",
" speaker_ids = model.hps.data.spk2id\n",
" \n",
" for speaker_key in speaker_ids.keys():\n",
" speaker_id = speaker_ids[speaker_key]\n",
" speaker_key = speaker_key.lower().replace('_', '-')\n",
" \n",
" source_se = torch.load(f'checkpoints_v2/base_speakers/ses/{speaker_key}.pth', map_location=device)\n",
" model.tts_to_file(text, speaker_id, src_path, speed=speed)\n",
" save_path = f'{output_dir}/output_v2_{speaker_key}.wav'\n",
"\n",
" # Run the tone color converter\n",
" encode_message = \"@MyShell\"\n",
" tone_color_converter.convert(\n",
" audio_src_path=src_path, \n",
" src_se=source_se, \n",
" tgt_se=target_se, \n",
" output_path=save_path,\n",
" message=encode_message)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "melo",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.18"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
docs/USAGE.md
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@@ -2,37 +2,31 @@
## Table of Content
- [Use in MyShell](#use-in-myshell): directly use the Instant Voice Clone and TTS services.
- [Minimal Demo](#minimal-demo): quickly try OpenVoice and do not require high quality.
- [Quick Use](#quick-use): directly use OpenVoice without installation.
- [Linux Install](#linux-install): for researchers and developers only.
- [V1](#openvoice-v1)
- [V2](#openvoice-v2)
- [Install on Other Platforms](#install-on-other-platforms): unofficial installation guide contributed by the community
## Use in MyShell
## Quick Use
For most users, the most convenient way is to directly use the free TTS and Instant Voice Clone services in MyShell.
The input speech audio of OpenVoice can be in **Any Language**. OpenVoice can clone the voice in that speech audio, and use the voice to speak in multiple languages. For quick use, we recommend you to try the already deployed services:
### TTS
Go to [https://app.myshell.ai/explore](https://app.myshell.ai/explore) and follow the instructions below:
<div align="center">
<img src="../resources/tts-guide.png" width="1200"/>
</div>
### Voice Clone
Go to [https://app.myshell.ai/explore](https://app.myshell.ai/explore) and follow the instructions below:
<div align="center">
<img src="../resources/voice-clone-guide.png" width="61200"/>
</div>
- [British English](https://app.myshell.ai/widget/vYjqae)
- [American English](https://app.myshell.ai/widget/nEFFJf)
- [Indian English](https://app.myshell.ai/widget/V3iYze)
- [Australian English](https://app.myshell.ai/widget/fM7JVf)
- [Spanish](https://app.myshell.ai/widget/NNFFVz)
- [French](https://app.myshell.ai/widget/z2uyUz)
- [Chinese](https://app.myshell.ai/widget/fU7nUz)
- [Japanese](https://app.myshell.ai/widget/IfIB3u)
- [Korean](https://app.myshell.ai/widget/q6ZjIn)
## Minimal Demo
For users who want to quickly try OpenVoice and do not require high quality or stability, click any of the following links:
<div align="center">
<a href="https://www.lepton.ai/playground/openvoice"><img src="../resources/lepton-hd.png" height="28"></a>
&nbsp;&nbsp;&nbsp;&nbsp;
<a href="https://app.myshell.ai/bot/z6Bvua/1702636181"><img src="../resources/myshell-hd.png" height="28"></a>
&nbsp;&nbsp;&nbsp;&nbsp;
<a href="https://huggingface.co/spaces/myshell-ai/OpenVoice"><img src="../resources/huggingface.png" height="32"></a>
@@ -50,7 +44,11 @@ cd OpenVoice
pip install -e .
```
Download the checkpoint from [here](https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_1226.zip) and extract it to the `checkpoints` folder
No matter if you are using V1 or V2, the above installation is the same.
### OpenVoice V1
Download the checkpoint from [here](https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_1226.zip) and extract it to the `checkpoints` folder.
**1. Flexible Voice Style Control.**
Please see [`demo_part1.ipynb`](../demo_part1.ipynb) for an example usage of how OpenVoice enables flexible style control over the cloned voice.
@@ -60,12 +58,26 @@ Please see [`demo_part2.ipynb`](../demo_part2.ipynb) for an example for language
**3. Gradio Demo.**. We provide a minimalist local gradio demo here. We strongly suggest the users to look into `demo_part1.ipynb`, `demo_part2.ipynb` and the [QnA](QA.md) if they run into issues with the gradio demo. Launch a local gradio demo with `python -m openvoice_app --share`.
**3. Advanced Usage.**
The base speaker model can be replaced with any model (in any language and style) that the user prefer. Please use the `se_extractor.get_se` function as demonstrated in the demo to extract the tone color embedding for the new base speaker.
### OpenVoice V2
**4. Tips to Generate Natural Speech.**
There are many single or multi-speaker TTS methods that can generate natural speech, and are readily available. By simply replacing the base speaker model with the model you prefer, you can push the speech naturalness to a level you desire.
Download the checkpoint from [here](https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip) and extract it to the `checkpoints_v2` folder.
## Windows Install (VS Code)
Install [MeloTTS](https://github.com/myshell-ai/MeloTTS):
```
pip install git+https://github.com/myshell-ai/MeloTTS.git
python -m unidic download
```
Please use [this guide](https://github.com/Alienpups/OpenVoice/blob/main/docs/USAGE_WINDOWS.md) if you want to install and use OpenVoice on Windows.
**Demo Usage.** Please see [`demo_part3.ipynb`](../demo_part3.ipynb) for example usage of OpenVoice V2. Now it natively supports English, Spanish, French, Chinese, Japanese and Korean.
## Install on Other Platforms
This section provides the unofficial installation guides by open-source contributors in the community:
- Windows
- [Guide](https://github.com/Alienpups/OpenVoice/blob/main/docs/USAGE_WINDOWS.md) by [@Alienpups](https://github.com/Alienpups)
- You are welcome to contribute if you have a better installation guide. We will list you here.
- Docker
- [Guide](https://github.com/StevenJSCF/OpenVoice/blob/update-docs/docs/DF_USAGE.md) by [@StevenJSCF](https://github.com/StevenJSCF)
- You are welcome to contribute if you have a better installation guide. We will list you here.
docs/USAGE_WINDOWS.md
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@@ -1,34 +0,0 @@
# How to install Python 3.9 via Microsoft Store
1. Open the Microsoft Store app on your Windows 10/11 device. You can search for it in the Start menu or press the Windows logo key + S and type "store".
2. In the Microsoft Store app, search for "Python 3.9" or click on this link: [Python 3.9].
3. On the Python 3.9 app page, click on the "Get" button to download and install it. You may need to sign in with your Microsoft account if you haven't already.
4. Once the installation is complete, you can launch Python 3.9 from the Start menu or by typing "python" in the command prompt.
5. To verify that Python 3.9 is installed correctly, you can run the following command in the command prompt: `python --version`. It should display something like "Python 3.9.0".
6. Congratulations, you have successfully installed Python 3.9 via Microsoft Store. You can now use it to create and run Python scripts, modules, and applications. 🐍
# How to install Visual Studio Code via Microsoft Store
1. Open the Microsoft Store app on your Windows 10/11 device. You can search for it in the Start menu or press the Windows logo key + S and type "store".
2. In the Microsoft Store app, search for "Visual Studio Code" or click on this link: [Visual Studio Code](https://apps.microsoft.com/detail/XP9KHM4BK9FZ7Q?hl=en-US&gl=US).
3. On the Visual Studio Code app page, click on the "Get" button to download and install it. You may need to sign in with your Microsoft account if you haven't already.
4. Once the installation is complete, you can launch Visual Studio Code from the Start menu.
5. Congratulations, you have successfully installed Visual Studio Code via Microsoft Store. You can now use it to edit and debug code in various languages and frameworks. 💻
# How to install OpenVoice from GitHub using Visual Studio Code terminal
1. Launch Visual Studio Code and open a folder where you want to store the openvoice project. You can use the File > Open Folder menu command.
2. Open the integrated terminal in Visual Studio Code by using the Terminal > New Terminal menu command. Make sure that the terminal shows the same folder name as the one you opened in the previous step. If not, you can use the cd command to change the directory.
3. Clone the openvoice repository from GitHub by running this command in the terminal: `git clone https://github.com/myshell-ai/OpenVoice.git`.
4. Create a Python environment for the openvoice project. Press F1 and select the Python: Create Environment command.
5. Choose venv as the environment type and Python 3.9 as the interpreter. The environment will be created in the ".venv" folder within your project.
6. VS Code will ask you if you want to install the dependencies that are in the requirements.txt in the openvoice folder. Confirm this with Yes. If the prompt does not appear, go to step 10.
7. Make sure that the venv is activated in the terminal. You can tell if the venv is activated by looking at the prefix of the terminal prompt. It should show the name of the venv in parentheses, e.g. "(.venv)". If the venv is not activated, go to step 8. If the venv is activated, go to step 11.
8. Activate the venv manually by running this command in the terminal: `.\.venv\Scripts\activate`. Or create a new terminal in VS Code, which will activate the venv automatically for you.
9. Install ipykernel to run the notebooks. VS Code may prompt you to do this automatically. Confirm this with Yes. If not, install ipykernel manually by running this command in the terminal: `pip install ipykernel`.
10. Install the dependencies manually by running this command in the terminal: `pip install -r requirements.txt`. This step is only necessary if the dependencies were not installed automatically in step 6.
11. Download the required model checkpoints from this link: [Checkpoints](https://myshell-public-repo-hosting.s3.amazonaws.com/checkpoints_1226.zip), extract the zip and place the checkpoints folder in the openvoice folder.
12. To use openvoice, you can open and run the Jupyter notebooks that are in the openvoice folder. These notebooks will show you how to use openvoice to clone voices in various languages and styles. You can open the notebooks in VS Code by clicking on them in the Explorer on the left side.
13. To run the notebooks, you will need to install the Jupyter extension for VS Code. You can do this by pressing F1 and selecting the Extensions: Install Extensions command. Search for "Jupyter" and install the extension by Microsoft.
14. After installing the extension, you can run the notebooks by clicking on the play button next to the code blocks. The first notebook you should run is demo_part1.ipynb, which will guide you through the basic steps of using openvoice. You will need to provide a reference audio file for tone color extraction. You can use the sample audio files that are in the openvoice/resources folder or use your own audio file which you can also place inside the recources folder. The notebook will show you how to load the audio file, extract the tone color, and synthesize a new voice with the same tone color. You can also run the other notebooks, such as demo_part2.ipynb to see more advanced features of openvoice, such as style transfer and voice cloning. If you get a message that says something about ipywidgets being outdated or missing, you can install ipywidgets by running this command in the terminal: `pip install ipywidgets`.
15. Congratulations, you have successfully installed OpenVoice from GitHub using Visual Studio Code terminal. You can now use it to clone voices in various languages and styles. 🎙️
openvoice/api.py
+1
View File
@@ -107,6 +107,7 @@ class ToneColorConverter(OpenVoiceBaseClass):
self.watermark_model = wavmark.load_model().to(self.device)
else:
self.watermark_model = None
self.version = getattr(self.hps, '_version_', "v1")
openvoice/models.py
+4 -2
View File
@@ -420,6 +420,7 @@ class SynthesizerTrn(nn.Module):
upsample_kernel_sizes,
n_speakers=256,
gin_channels=256,
zero_g=False,
**kwargs
):
super().__init__()
@@ -461,6 +462,7 @@ class SynthesizerTrn(nn.Module):
self.sdp = StochasticDurationPredictor(hidden_channels, 192, 3, 0.5, 4, gin_channels=gin_channels)
self.dp = DurationPredictor(hidden_channels, 256, 3, 0.5, gin_channels=gin_channels)
self.emb_g = nn.Embedding(n_speakers, gin_channels)
self.zero_g = zero_g
def infer(self, x, x_lengths, sid=None, noise_scale=1, length_scale=1, noise_scale_w=1., sdp_ratio=0.2, max_len=None):
x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths)
@@ -490,8 +492,8 @@ class SynthesizerTrn(nn.Module):
def voice_conversion(self, y, y_lengths, sid_src, sid_tgt, tau=1.0):
g_src = sid_src
g_tgt = sid_tgt
z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g_src, tau=tau)
z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g_src if not self.zero_g else torch.zeros_like(g_src), tau=tau)
z_p = self.flow(z, y_mask, g=g_src)
z_hat = self.flow(z_p, y_mask, g=g_tgt, reverse=True)
o_hat = self.dec(z_hat * y_mask, g=g_tgt)
o_hat = self.dec(z_hat * y_mask, g=g_tgt if not self.zero_g else torch.zeros_like(g_tgt))
return o_hat, y_mask, (z, z_p, z_hat)
openvoice/se_extractor.py
+10 -7
View File
@@ -128,16 +128,19 @@ def hash_numpy_array(audio_path):
def get_se(audio_path, vc_model, target_dir='processed', vad=True):
device = vc_model.device
version = vc_model.version
print("OpenVoice version:", version)
audio_name = f"{os.path.basename(audio_path).rsplit('.', 1)[0]}_{hash_numpy_array(audio_path)}"
audio_name = f"{os.path.basename(audio_path).rsplit('.', 1)[0]}_{version}_{hash_numpy_array(audio_path)}"
se_path = os.path.join(target_dir, audio_name, 'se.pth')
if os.path.isfile(se_path):
se = torch.load(se_path).to(device)
return se, audio_name
if os.path.isdir(audio_path):
wavs_folder = audio_path
elif vad:
# if os.path.isfile(se_path):
# se = torch.load(se_path).to(device)
# return se, audio_name
# if os.path.isdir(audio_path):
# wavs_folder = audio_path
if vad:
wavs_folder = split_audio_vad(audio_path, target_dir=target_dir, audio_name=audio_name)
else:
wavs_folder = split_audio_whisper(audio_path, target_dir=target_dir, audio_name=audio_name)
resources/example_reference.mp3
BIN
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setup.py
+5 -5
View File
@@ -1,4 +1,5 @@
from setuptools import setup
from setuptools import setup, find_packages
setup(name='MyShell-OpenVoice',
version='0.0.0',
@@ -20,10 +21,9 @@ setup(name='MyShell-OpenVoice',
},
author='MyShell',
author_email='ethan@myshell.ai',
license='Creative Commons Attribution-NonCommercial 4.0 International Public License',
packages=[
'openvoice'
],
license='MIT License',
packages=find_packages(),
python_requires='>=3.9',
install_requires=[
'librosa==0.9.1',