Tacotron2 is a type of computer program that helps create human-like speech from written words. It has two main parts:
- A part that predicts how the sound should be made from the text. It takes the text and makes a sequence of sound pictures called Mel Spectrogram Frames.
- Another part that turns those sound pictures into an actual sound. It uses a modified version of WaveNet to do this.
Tacotron2 is different from the original Tacotron because it uses simpler pieces to work. It uses regular LSTM and convolutional parts instead of more complicated CBHG and GRU parts. It also doesn’t have a Reduction Factor which means each step of the second part makes one sound picture. It also uses something called Location-Sensitive Attention(LSA) instead of Additive Attention(AA).
For more information refer to this page of Cornell University
What are the Requirements To Install Tacotron2 In VsCode?
Here are a few prerequisites you need to follow. You must have these in place to install this. So, please ensure that your system meets all these requirements. If you’re missing any of the following, please arrange them before you begin the installation process.
- Your system should have a GPU to run this code. Ensure that your system has a GPU.
- You’ll need essential tools like numpy, scipy, and librosa to install this code.
- Your system must be running Python 3.6 or a higher version. This program won’t work on systems with Python versions lower than 3.6.
- Please make sure you meet all these requirements before you start the final installation process.
Instructions for Installing Tacotron2 in Visual Studio Code
Here are the easy steps to help you install this program on your computer. Be sure not to skip any steps during the installation process.
- Start by opening Visual Studio Code (VS Code) after you’ve downloaded all the required files. You can download VS Code from this link: https://code.visualstudio.com/download.
- Once VS Code is open, look on the left-hand side and click on the File option, then select New Project.
- After opening a new project, you will see a dialog box. Click on it, and choose Python project. This ensures that your project will use the Python language.
- To run Tactronn on Windows, use the following command:
pip install tacotron2. However, you’ll need a Tacotron2 model for this to work. You can download it from this link: https://github.com/NVIDIA/tacotron2/releases. Save the downloaded file in a location you can easily remember. For detailed guidance, look below.
- For the final step, open the “synthesize.py” file in VS Code. You may notice some differences in the text, but ultimately, all you need to do is run the file.
How to Install Tacotron2 on your System?
This Tacotron2 library has been modified to work with the VAIT library.
Original Code, README.md, and Additional Information: You can find the original code, README.md, and more details here: https://github.com/NVIDIA/tacotron2
- Install the Tacotron2 library (this will also install the WaveGlow library):
pip install tacotron2==22.12.28
- CUDA 11.3 or 11.6 installation:
pip install -r requirements-cuda-11.3.txt
# or
pip install -r requirements-cuda-11.6.txt- Apex Install:
git clone https://github.com/NVIDIA/apex /home/${USER}/apex
cd /home/${USER}/apex
pip install -v --disable-pip-version-check --no-cache-dir ./
cd -- Published model files download command:
wget https://drive.google.com/file/d/1c5ZTuT7J08wLUoVZ2KkUs_VdZuJ86ZqA/view?usp=sharing- Usage: Training To train the model, use the following commands:
tacotron2-train --output_directory=outdir --log_directory=logdir
tacotron2-train --output_directory=outdir --log_directory=logdir -c tacotron2_statedict.pt --warm_startConclusion
In conclusion, this was a detailed guide on how to install Tacotron2 in Visual Studio Code (VSCode). You need to follow all these steps carefully and we have included all the necessary links too.
You might encounter some difficulties the first time but after you complete this installation, you won’t need to refer to this guide again. This guide covers the entire process of installing Tacotron2 in VSCode.
It’s especially useful for college and office presentations, as it can greatly improve your work efficiency. This programming tool is compatible with both Windows and Mac systems, making it accessible to everyone.
We hope you find this guide helpful. This guide might become outdated after a while. In that case, please get in touch with us and we will definitely update it as soon as we can.
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