Master the Art of Speaking in Any Voice!

Table of Contents:

1. Introduction
2. Preparation of the Input Voice
3. Training the Model
4. Usage of the Model
5. Requirements for the Tutorial
6. Focusing on Spoken Voice
7. Efficiency vs. Ease of Use
8. The Process of Converting the Voice
9. Using Hugging Phase
10. Adjustments in the User Interface
11. Using One-Click Training
12. Finishing the Training
13. Switching to a Simpler User Interface
14. Importing the Model to RVC GUI
15. Converting the Audio File
16. Final Steps and Conclusion

How to Speak in Any Voice Using Your Computer and a Microphone 👩‍💻🎙️

In this video tutorial, you will learn how to use your computer and a microphone to speak in any voice. The entire process is run locally on your machine, making it both convenient and accessible. This tutorial will guide you through three main steps: preparation of the input voice, training of the model, and usage of the model. Before we begin, make sure you have an Nvidia GPU that supports Cuda, at least 30 gigabytes of free disk space, and a Recording of your own voice. Please note that this tutorial focuses on spoken voice and not singing. Let's get started!

1. Introduction

In this section, we will provide an overview of the tutorial and the goals we aim to achieve. We will also discuss the requirements for successfully completing the tutorial, such as the need for an Nvidia GPU and sufficient disk space.

2. Preparation of the Input Voice

In this step, we will cover how to convert and extract audio for the input voice. We will demonstrate how to use a tool called audacity to edit and prepare the voice recording. We will also explain the importance of selecting the appropriate audio and removing any unnecessary parts.

3. Training the Model

This section will guide you through the training process of the model using Hugging Phase. We will go through the necessary steps, including downloading and unzipping the required files. We will then explore the user interface and make minor adjustments to prepare for the training. This step involves splitting audio files, feature extraction, and setting parameters for the training process.

4. Usage of the Model

Once the model is trained, we will demonstrate how to use it to speak in a different voice. We will switch to a simpler user interface, known as RVC GUI, to import the model and input audio file. We will explain the process of converting the audio file, making sure to select the desired model. Finally, we will showcase the output and listen to the transformed voice.

5. Requirements for the Tutorial

In this section, we will provide a detailed list of the requirements necessary to successfully complete this tutorial. This includes the need for an Nvidia GPU that supports Cuda, sufficient disk space, and a recording of your own voice.

6. Focusing on Spoken Voice

Here, we will discuss the focus of this tutorial, which is on spoken voice rather than singing. We will explain the reasons behind this decision and briefly touch upon the differences between the two.

7. Efficiency vs. Ease of Use

In this section, we will discuss the trade-off between efficiency and ease of use in the tutorial. We acknowledge that there may be more efficient ways to achieve the desired results but have chosen to prioritize simplicity and accessibility for beginners.

8. The Process of Converting the Voice

In this step, we will provide a detailed explanation of the entire process of converting the voice. We will discuss the tools and techniques involved, including the use of audacity for editing the voice recording and RVC GUI for model training and usage.

9. Using Hugging Phase

Here, we will provide a step-by-step guide on how to use Hugging Phase for training the model. We will cover the downloading and unzipping of the required files, as well as the adjustments needed in the user interface. We will also explain the significance of each step in the training process.

10. Adjustments in the User Interface

This section will focus on the adjustments that need to be made in the user interface of Hugging Phase. We will explain the purpose of each setting and provide guidance on how to configure them properly.

11. Using One-Click Training

Here, we will introduce the concept of one-click training and explain its potential benefits. Although the one-click training option is available, we recommend following the step-by-step training process outlined in this tutorial for optimal results.

12. Finishing the Training

In this step, we will explain how to complete the training process. We will guide you through the final adjustments and settings, including the saving frequency, total training epochs, and batch size. Once the training is finished, we will highlight the importance of checking for the "final.ckpt success" message.

13. Switching to a Simpler User Interface

After the completion of the training, we will switch to a simpler user interface called RVC GUI. We will explain the process of downloading and extracting the necessary files. We will also guide you through launching the tool and importing the model.

14. Importing the Model to RVC GUI

In this section, we will demonstrate how to import the trained model into RVC GUI. We will explain the process of navigating to the weights folder and copying the lecturer.pth file. This step is crucial for using the trained model in RVC GUI.

15. Converting the Audio File

Once the model is imported, we will guide you through the process of converting the audio file into the desired voice. We will explain the method of selection and ensure that the GPU is selected for optimal performance. Finally, we will initiate the conversion and listen to the transformed voice.

16. Final Steps and Conclusion

In the final section, we will summarize the tutorial and Recap the key steps involved in speaking in any voice using your computer and a microphone. We will also invite the viewers to provide feedback, ask questions, and subscribe for future updates.

Highlights:

• Learn how to speak in any voice using your computer and a microphone
• Perform the entire process locally on your machine
• Follow three main steps: preparation of the input voice, training of the model, and usage of the model
• Requirements include an Nvidia GPU, sufficient disk space, and a recording of your own voice
• Emphasize spoken voice over singing
• Prioritize ease of use and accessibility

FAQ:

Q: Can I use this tutorial for singing voice as well? A: No, this tutorial focuses on spoken voice only.

Q: Is it necessary to have an Nvidia GPU? A: Yes, an Nvidia GPU that supports Cuda is required for optimal performance.

Q: How much disk space is required? A: You will need at least 30 gigabytes of free disk space for the tutorial.

Q: Can I use recordings of someone else's voice for training the model? A: Yes, you can use any voice recording, but for best results, it is recommended to use your own voice.

Q: What if I encounter issues during the training process? A: If you face any difficulties, following the step-by-step workflow outlined in the tutorial is recommended.

Q: Can I convert the audio file into multiple voices? A: Yes, you can train the model with different voices and use them accordingly in the user interface.

Resources:

• Audacity: https://www.audacityteam.org/
• Hugging Phase: https://github.com/huggingphase
• RVC GUI: https://github.com/RVC-Studio/RVC-GUI