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GPT-SoVITS

GPT-SoVITS

Few-shot voice cloning with 1-minute voice data

softwareAI Audio & VoiceAI-PoweredVoice CloningText-to-Speech
Our Verdict

Best for

Researchers and developers of TTS systems

Skip if

Non-technical users or large-scale applications

What is GPT-SoVITS?

GPT-SoVITS is a text-to-speech (TTS) model that enables few-shot voice cloning using just 1 minute of voice data. This innovative approach allows for rapid voice cloning and synthesis, making it an exciting development in the field of speech synthesis. With GPT-SoVITS, users can create high-quality voice models with minimal data, opening up new possibilities for applications such as voice assistants, audiobooks, and more.

SpecificationsAI-estimated

deploymentSelf-hosted
open sourceโœ… Yes
github stars60,140
api availableโœ… Yes
support optionsGitHub Issues, Community Forum
primary languagePython

Key Features of GPT-SoVITS

Zero-shot TTS converts text to speech instantly from a 5-second vocal sample
Few-shot TTS fine-tunes on about 1 minute of audio for closer voice similarity
Cross-lingual inference speaks languages the source voice was never trained on
Supports English, Japanese, Korean, Cantonese and Chinese for inference
Integrated WebUI bundles the full dataset-preparation and training workflow
Built-in voice and accompaniment separation isolates a clean vocal track
Automatic training-set segmentation and multilingual ASR transcribe source audio
Text labeling tools help beginners build a training set without external software

Use Cases for GPT-SoVITS

1

Voice Assistant Development

Use GPT-SoVITS to create custom voice models for voice assistants.

2

Audiobook Production

Utilize GPT-SoVITS to generate high-quality voice narrations for audiobooks.

3

Speech Synthesis Research

Leverage GPT-SoVITS for research in speech synthesis and voice cloning.

4

Content Creation

Employ GPT-SoVITS to create engaging voice-overs for videos and podcasts.

Pros & Cons of GPT-SoVITS

Pros

  • Rapid voice cloning and synthesis
  • High-quality voice models with minimal data
  • Customizable voice models
  • Open-source and free to use

Cons

  • Limited support for certain languages and accents
  • Requires technical expertise for integration
  • Limited scalability for large-scale applications

Frequently Asked Questions

What is the minimum amount of voice data required for GPT-SoVITS?

Five seconds. A 5-second vocal sample is enough for zero-shot text-to-speech, while roughly 1 minute of training data is used to fine-tune a model for better voice similarity.

Is GPT-SoVITS open-source?

Yes, GPT-SoVITS is open-source and free to use.

Can GPT-SoVITS be integrated with other speech synthesis tools?

Yes. It ships as a WebUI toolkit covering voice conversion, dataset segmentation, multilingual ASR and text labelling, and supports cross-lingual inference in English, Japanese, Korean, Cantonese and Chinese, so it can feed or replace stages of an existing speech pipeline.

What are the potential applications of GPT-SoVITS?

GPT-SoVITS can be used for voice assistant development, audiobook production, speech synthesis research, and content creation.

Free

Detailed plans are not listed. Visit the official website for pricing information.

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Target AudienceResearchers and Developers

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Tags

AI-PoweredVoice CloningText-to-SpeechSpeech SynthesisFew-Shot LearningOpen-Source

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