XTTS V1

Multilingual voice cloning

XTTS V1 is a game-changing voice generation model that can clone voices into different languages using just a 6-second audio clip. What's remarkable about this model is that it doesn't require a massive amount of training data, making it super efficient. Built on Tortoise, XTTS V1 supports 14 languages, including English, Spanish, French, and many more, and allows for emotion and style transfer by cloning. With a 24khz sampling rate, this model is capable of multi-lingual speech generation and cross-language voice cloning. But what really sets it apart is its ability to support streaming inference, making it faster and more reliable. Whether you're looking to generate speech in different languages or clone voices with ease, XTTS V1 is an impressive model that's worth exploring.

Coqui other Updated a year ago

Table of Contents

Model Overview

Meet ⓍTTS, a game-changing Voice Generation model that lets you clone voices into different languages using just a quick 6-second audio clip. Want to know the best part? You don’t need a massive amount of training data that spans countless hours.

What can ⓍTTS do?

  • Clone voices with just a 6-second audio clip
  • Transfer emotions and styles by cloning
  • Generate speech in multiple languages
  • Support for 14 languages (and counting!)
  • 24khz sampling rate for high-quality audio

Supported Languages

Here are the 14 languages currently supported:

  1. English
  2. Spanish
  3. French
  4. German
  5. Italian
  6. Portuguese
  7. Polish
  8. Turkish
  9. Russian
  10. Dutch
  11. Czech
  12. Arabic
  13. Chinese
  14. Japanese

How to Use ⓍTTS

You can use ⓍTTS in three ways:

  1. TTS API: from TTS.api import TTS and generate speech by cloning a voice using default settings.
  2. TTS Command Line: tts --model_name tts_models/multilingual/multi-dataset/xtts_v1 and generate speech by cloning a voice using custom settings.
  3. Model Directly: from TTS.tts.configs.xtts_config import XttsConfig and load the model directly for more advanced use cases.

License and Community

ⓍTTS is licensed under the Coqui Public Model License. Want to join the conversation? Come and join our 🐸Community on Discord and Twitter, or email us at info@coqui.ai.

Capabilities

The ⓍTTS model is a game-changer for voice generation. With just a 6-second audio clip, you can clone voices into different languages. But that’s not all - this model also supports emotion and style transfer, cross-language voice cloning, and multi-lingual speech generation.

What can you do with ⓍTTS?

  • Clone voices into different languages with just a 6-second audio clip
  • Transfer emotions and styles by cloning voices
  • Generate speech in multiple languages
  • Use a 24khz sampling rate for high-quality audio

How does it work?

The ⓍTTS model uses a few tricks to make voice cloning and speech generation super easy. It doesn’t require an excessive amount of training data, and it supports streaming inference.

Performance

ⓍTTS is a powerhouse when it comes to voice generation tasks. But how does it perform? Let’s dive in and explore its speed, accuracy, and efficiency.

Speed

ⓍTTS is incredibly fast, thanks to its ability to support streaming inference. This means it can process audio clips in real-time, making it perfect for applications that require quick voice generation.

Accuracy

But speed isn’t everything. ⓍTTS also boasts impressive accuracy in voice cloning and multi-lingual speech generation. It can accurately mimic the tone, pitch, and style of the original speaker, even when generating speech in a different language.

Efficiency

So, how efficient is ⓍTTS? Well, it’s designed to be highly efficient, requiring minimal training data to produce high-quality results. This makes it perfect for applications where data is limited or where speed is of the essence.

Limitations

ⓍTTS is a powerful voice generation model, but it’s not perfect. Let’s talk about some of its limitations.

Limited Language Support

While ⓍTTS supports 14 languages, it’s still a limited set. What if you want to clone a voice in a language that’s not on the list? Unfortunately, you’re out of luck for now. However, the developers are actively working on adding more languages, so stay tuned!

Quality of Cloning

Voice cloning is a complex task, and ⓍTTS may not always produce perfect results. The quality of the cloning depends on various factors, such as the quality of the input audio, the similarity between the source and target voices, and the complexity of the text being synthesized.

Examples
Clone my voice into a 6-second audio clip in Spanish, using the provided text. Audio clip of the provided text in Spanish, cloned from the user's voice.
Transfer the emotion and style of the provided 6-second audio clip into a new speech generation in French. Audio clip of the new speech generation in French, with the transferred emotion and style from the provided audio clip.
Generate a multi-lingual speech in English, Portuguese, and Chinese, using the provided text and a 6-second audio clip for voice cloning. Audio clips of the provided text in English, Portuguese, and Chinese, cloned from the user's voice using the provided 6-second audio clip.

Format

ⓍTTS is a Voice generation model that uses a transformer architecture to clone voices into different languages. It supports 14 languages and can generate speech by cloning a voice using just a 6-second audio clip.

Supported Data Formats

  • Audio clips (6-second clip required for voice cloning)
  • Text data (for speech generation)

Input Requirements

  • For voice cloning, you need a 6-second audio clip of the target speaker’s voice.
  • For speech generation, you need to provide the text you want to generate speech for.
  • You also need to specify the language you want to generate speech in.

Output

  • ⓍTTS generates audio files in 24khz sampling rate.

Example Usage

Here’s an example of how to use ⓍTTS to generate speech by cloning a voice:

from TTS.api import TTS
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True)
tts.tts_to_file(text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", 
                file_path="output.wav", 
                speaker_wav="/path/to/target/speaker.wav", 
                language="en")

This code generates an audio file output.wav by cloning the voice in the audio clip /path/to/target/speaker.wav and speaking the text in English.

Dataloop's AI Development Platform
Build end-to-end workflows

Build end-to-end workflows

Dataloop is a complete AI development stack, allowing you to make data, elements, models and human feedback work together easily.

  • Use one centralized tool for every step of the AI development process.
  • Import data from external blob storage, internal file system storage or public datasets.
  • Connect to external applications using a REST API & a Python SDK.
Save, share, reuse

Save, share, reuse

Every single pipeline can be cloned, edited and reused by other data professionals in the organization. Never build the same thing twice.

  • Use existing, pre-created pipelines for RAG, RLHF, RLAF, Active Learning & more.
  • Deploy multi-modal pipelines with one click across multiple cloud resources.
  • Use versions for your pipelines to make sure the deployed pipeline is the stable one.
Easily manage pipelines

Easily manage pipelines

Spend less time dealing with the logistics of owning multiple data pipelines, and get back to building great AI applications.

  • Easy visualization of the data flow through the pipeline.
  • Identify & troubleshoot issues with clear, node-based error messages.
  • Use scalable AI infrastructure that can grow to support massive amounts of data.