RIP ELEVENLABS! Create BEST TTS AI Voices LOCALLY For FREE!

Aitrepreneur
9 May 202417:45

TLDRThe video titled 'RIP ELEVENLABS! Create BEST TTS AI Voices LOCALLY For FREE!' offers a comprehensive guide on creating high-quality, custom text-to-speech (TTS) AI voices without incurring hefty fees. The presenter, SK, introduces various methods ranging from a quick 10-second voice cloning to a more sophisticated, fine-tuned model training process that requires only 2 minutes of audio. The video also covers the integration of the generated TTS audio with RVC (Reverse Voice Conversion) for enhanced voice quality. Additionally, it highlights an automated process using the XTS RVC UI for a seamless experience. The tutorial is designed to empower users to produce professional-sounding TTS models on their local computers, providing them with a cost-effective alternative to expensive third-party software.

Takeaways

  • 📢 The video is about creating custom text-to-speech (TTS) AI voices locally for free.
  • 💻 You can choose from various methods ranging from quick 10-second voice cloning to more sophisticated and higher quality voice generation techniques.
  • 🔧 For easy installation, there's a one-click installer for patrons and a manual installation process for others, requiring Python, FFMpeg, and C++ build tools.
  • 🔗 The video provides links in the description for downloading necessary software and accessing the code for cloning repositories.
  • ⏱ With just 10 seconds of audio, you can clone a voice using the simple quick cloning method in the XTTS web UI.
  • 🎶 For better voice quality, you can train your own XTTS model with only 2 minutes of audio using the medium text-to-speech method.
  • 🔍 The fine-tuned model captures the nuances of the speaker's accent, speech patterns, and unique vocal characteristics.
  • 🚀 To achieve the highest quality, the ultimate text-to-speech method combines the generated audio from a fine-tuned XTTS model with RVC (Reverse Voice Conversion).
  • 🌐 There's a third web UI called XTS RVC UI that automates the process of generating and converting audio with one click.
  • 📈 The presenter also mentions offering a PDF guide for free on Patreon to help remember the steps involved in creating TTS voices.
  • 📝 The video concludes with an encouragement to try out the methods and a reminder to subscribe and support the channel for more content.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about creating custom text-to-speech (TTS) AI voices locally on your computer for free.

  • What are the different methods discussed in the video for creating TTS AI voices?

    -The video discusses several methods including a quick 10-second voice cloning, training your own TTS model with just 2 minutes of audio, and an ultimate text-to-speech method that combines TTS with voice conversion using RVC.

  • What software is mentioned for installing TTS tools?

    -FFMpeg and Python are mentioned as prerequisites, and the use of a one-click installer for Patreon supporters is discussed.

  • How much audio is needed to clone a voice using the lazy method described?

    -Using the lazy method, only 10 seconds of audio is needed to clone a voice.

  • What is RVC and how is it used in the ultimate text-to-speech method?

    -RVC is a voice cloning software that can clone a voice to a near-perfect level. In the ultimate text-to-speech method, it is used to further refine the generated audio from the TTS model.

  • How long does it take to train an XTTS model using the medium text-to-speech method?

    -The training time depends on the length of the audio file, but it is mentioned to be relatively fast, taking less than a minute in one of the examples.

  • What is the minimum duration of audio required for training an XTTS model from scratch?

    -The minimum duration of audio required is 2 minutes, although the presenter suggests using a longer audio clip for better results.

  • How does the presenter suggest extending a short audio clip to the required 2 minutes for training?

    -The presenter suggests using a short audio clip, copying it, and pasting it multiple times to create a continuous 2-minute audio file.

  • What is the advantage of using a fine-tuned XTTS model?

    -A fine-tuned XTTS model allows for training on the specific accent, speech patterns, speed, and unique quirks of the speaker, leading to a more authentic and higher quality TTS voice.

  • How can the final TTS audio be further improved using RVC?

    -The final TTS audio can be imported into RVC, which is a powerful voice cloning tool, to create an even more refined and authentic voice output.

  • What is the easiest and quickest method to generate TTS audio mentioned in the video?

    -The easiest and quickest method mentioned is the simple quick cloning with 10 seconds of audio using the XTTS web UI.

Outlines

00:00

🚀 Introduction to Custom Text-to-Speech AI Voices

This paragraph introduces the viewer to the possibility of creating custom text-to-speech AI voices on their local computer. The speaker, SK, promises to show various methods ranging from quick voice cloning to achieving the highest quality speech synthesis. The paragraph outlines the process of installing necessary software, either through a one-click installer for patrons or manually by setting up the environment and cloning repositories. It also briefly mentions the first method of voice cloning using just 10 seconds of audio.

05:02

🎓 Training Your Own Text-to-Speech Model

The second paragraph delves into training a personal text-to-speech model using only 2 minutes of audio. It guides the user through using the xtts fine-tune web UI, creating a dataset, and training the model with default settings. The speaker emphasizes the importance of using a longer audio clip for better results but demonstrates a trick to extend a shorter clip for training. The paragraph concludes by showcasing the improved quality of the synthesized voice after training.

10:04

🎉 Advanced Text-to-Speech with RVC Integration

The third paragraph introduces RVC (Reverse Voice Converter) for further enhancing the text-to-speech output. It explains that while the medium method improves the voice, the ultimate method involves using the output from the text-to-speech model and refining it with RVC. The paragraph outlines three different methods for using RVC, including a simple conversion, an automatic process through the XTS RVC UI, and a comprehensive Uber text-to-speech method that combines the fine-tuned model with RVC for the highest quality output.

15:06

📚 Final Thoughts and Additional Resources

The final paragraph wraps up the video by summarizing the methods presented for achieving high-quality text-to-speech AI voices without incurring high fees. It mentions the availability of a PDF guide on Patreon for those who wish to have a visual reminder of the steps. The speaker encourages viewers to try out the methods for themselves and offers support to Patreon supporters. The paragraph ends with a call to action for viewers to subscribe, like, and support the channel.

Mindmap

Keywords

💡Text-to-Speech (TTS)

Text-to-Speech (TTS) is a technology that converts written text into audible speech. In the video, TTS is central to the theme as the host discusses various methods to create high-quality AI voices for TTS using local computer resources without incurring high costs.

💡Voice Cloning

Voice cloning refers to the process of replicating a person's voice using AI and machine learning. The video script describes a method where just 10 seconds of an individual's audio clip is sufficient to clone their voice for TTS purposes, demonstrating the ease of use and accessibility of this technology.

💡Local Computer

Throughout the video, the emphasis is on performing voice generation and manipulation on a local computer. This signifies processing power and software being utilized on a personal machine rather than relying on cloud-based services, which could incur fees or require an internet connection.

💡FFmpeg

FFmpeg is a free and open-source software project that can handle multimedia data. In the context of the video, FFmpeg is mentioned as a necessary component for the installation process of the software used to create TTS AI voices, highlighting its role in audio processing.

💡Python

Python is a high-level programming language that is widely used for various purposes, including developing software like the one discussed in the video. The script mentions installing Python as a prerequisite for setting up the environment to create custom TTS AI voices.

💡Deep Learning

Deep learning is a subset of machine learning that uses neural networks with many layers (deep neural networks) to analyze various factors of data. The video discusses fine-tuning a TTS model, which involves deep learning techniques to achieve a more personalized and accurate voice output.

💡Audio Clip

An audio clip is a segment of audio that can be used as input for voice cloning or training a TTS model. The video script provides examples of using audio clips, ranging from 10 seconds to 2 minutes, to create or train AI voices for TTS applications.

💡Training Data

Training data is the information used to teach a machine learning model. In the video, the host talks about using a 2-minute audio file as training data to customize a TTS model to a specific voice, emphasizing the importance of the quality and quantity of data for effective model training.

💡Model Fine-Tuning

Model fine-tuning is the process of adjusting a pre-trained machine learning model to perform better on a specific task. The video explains how to fine-tune a TTS model using only 2 minutes of audio to achieve a voice that closely resembles the speaker in the training data.

💡RVC (Resemblyzer Voice Cloning)

Resemblyzer, often abbreviated as RVC, is a voice conversion technology that can clone and convert voices with high fidelity. The video script describes using RVC to further enhance the quality of the TTS AI voice, showcasing its capabilities in voice manipulation.

💡Web UI

Web UI stands for Web User Interface, which is a method for interacting with software applications over the web. The video script mentions using a Web UI for the XTTS and RVC software, allowing users to input text, audio, and other parameters to generate or clone voices through a graphical interface.

Highlights

Create custom text-to-speech AI voices on your local computer for free.

Multiple methods available from quick 10-second voice cloning to the ultimate text-to-speech voice.

One-click installer available for patrons to easily install necessary software.

Manual installation process provided for those without access to the one-click installer.

Quick cloning with just 10 seconds of audio clip to replicate a voice.

No character limit for the text input in the simple text-to-voice tab.

XTTS model can be trained from scratch using only 2 minutes of audio.

Training the model allows capturing the speaker's accent, speech patterns, and unique quirks.

RVC software can further refine the voice to a near-perfect clone.

Combining XTTS with RVC results in a highly authentic and improved voice output.

XTTS RVC UI automates the process of generating and converting audio with one click.

The fine-tuned XTTS model can be reused without limitations.

Uber text-to-speech method combines all techniques for the highest quality voice output.

The process is entirely local, avoiding the need for third-party software subscriptions.

A PDF guide will be available for free on Patreon for those who need a visual reminder of the steps.

Patreon supporters receive priority support and assistance.

The video provides a comprehensive guide to creating high-quality AI voices without exorbitant fees.