How to Clone Any Voice With AI | Tortoise-TTS Tutorial

Article: How to Clone Any Voice With AI | Tortoise-TTS Tutorial

In this tutorial, we'll guide you through the process of cloning any voice using an open-source AI tool called Tortoise Text-to-Speech (TTS). This powerful tool allows you to replicate voices accurately with the help of a few voice samples. Note: Always use this tool responsibly. Here are the steps to get you started:

1. Introduction to Tortoise TTS

   • Tortoise TTS is an open-source text-to-speech tool available on GitHub.
   • You can run it on your own machine by following straightforward installation instructions or use Google Colab to run it in the cloud.

2. Setting Up Google Colab

   • Since the original author removed the Google Colab, we use an alternative version.
   • For the best results, install Tortoise TTS locally as per the instructions available in the GitHub repository.

3. Gathering Audio Samples

   • Collect audio clips of the voice you want to clone.
   • Use software like Audacity to record voice segments in 10-second chunks.
   • The audio should be saved in 22 kHz sampling rate and as WAV files.

4. Recording Voice Segments

   • Use Audacity to record the audio clips.
   • Select your microphone and set the sampling rate to 22 kHz.
   • Record multiple segments (at least three, but more is better).
   • Ensure quality by avoiding background noise, amplification distortions, phone calls, and excessive stuttering.

5. Preparing for Tortoise TTS

   • Follow the instructions provided by the authors to ensure quality input data.
   • Avoid Clips with background music, speeches with distortions, phone call recordings, and clips with excessive stuttering or filler words.

6. Running Tortoise TTS on Google Colab

   • Open the provided Google Colab notebook and make a copy.
   • Set the runtime to GPU for faster processing.
   • Run each cell in the notebook sequentially.
   • Upload your recorded audio samples when prompted.
   • Define the text you want the cloned voice to speak and set the processing preset (fast, standard, or high quality).

7. Evaluating Results

   • Listen to the generated audio to assess quality.
   • If necessary, adjust settings or add more high-quality samples to improve cloning accuracy.
   • Experiment with different tones by specifying them in brackets (e.g., "I'm really sad").

8. Running Additional Tests

   • Experiment with different quality settings like "fast" and "ultra-fast" to see how they affect the output.
   • Ensure your input samples are of high quality to enhance the output voice clone.

Keywords:

• Tortoise TTS
• Voice Cloning
• AI Tool
• Google Colab
• Audacity
• Text-to-Speech
• Voice Samples

FAQ:

1. What is Tortoise TTS?

   • Tortoise TTS is an open-source text-to-speech tool that allows you to clone voices using AI.

2. How do I set up Tortoise TTS?

   • You can either install it locally using GitHub instructions or use an alternative Google Colab notebook to run the tool in the cloud.

3. What type of audio samples are needed for cloning a voice?

   • The samples should be 10-second segments, recorded at 22 kHz in WAV format.

4. What software can I use to record voice segments?

   • Audacity is a recommended free tool for recording and processing audio segments.

5. How many audio segments do I need?

   • At least three segments are required, but more data points result in better quality.

6. What quality issues should I avoid in the audio samples?

   • Avoid recordings with background noise, amplification distortions, phone call quality, and excessive stuttering or filler words.

7. How do I change the tone of the cloned voice?

   • Specify the desired tone in brackets before the text (e.g., "I'm really sad") when defining the text for the cloned voice to say.

8. What settings impact the quality of the cloned voice?

   • Options like "fast," "standard," and "high quality" settings affect processing time and output quality, with "high quality" taking longer but providing better results.