Generate personalized speech with cloned voice
Generate high-quality speech from text using a prompt audio
Anonymize and resynthesize speech from your recording
Demo for muskits-espnet
Generate audio from text using VITS
Convert audio to a different voice
Generate custom voice-cloned speech
Convert audio to a different voice
Reconstruct and convert voice audio
Restore degraded audio using a Transformer-based model
Generate and convert audio using text or voice input
Generate voice response from audio input
Convert your voice to match a selected character's voice
XTTS_V1 work on CPU Can duplicate is a cutting-edge voice cloning tool designed to generate personalized speech by mimicking real voices. It allows users to create synthetic speech that sounds like a specific individual, enabling applications in voice assistants, content creation, and more. This tool is optimized to run efficiently on CPU hardware, making it accessible to a broader range of users without requiring specialized GPU equipment.
• Voice Cloning: Duplicate the voice of any individual using advanced AI algorithms.
• Personalized Speech Generation: Create synthetic speech tailored to your needs.
• CPU Optimization: Runs efficiently on standard computer processors, eliminating the need for expensive GPU hardware.
• High-Quality Output: Produces natural-sounding speech that closely matches the original voice.
• Cross-Platform Compatibility: Works seamlessly on various operating systems, including Windows, macOS, and Linux.
• Multiple Language Support: Generate speech in multiple languages, depending on the cloned voice data.
What hardware do I need to run XTTS_V1?
XTTS_V1 is optimized for CPU operation, so you can run it on most modern computers with a decent processor. A multi-core CPU is recommended for faster processing.
Can I use XTTS_V1 for multiple voices?
Yes, XTTS_V1 supports multiple voice clones. You can train separate models for different voices and switch between them as needed.
Is the generated speech high quality?
Yes, XTTS_V1 produces high-quality speech that closely matches the original voice. However, the output quality depends on the quality of the input voice data and the training process.