Transform text to speech using a reference audio
denoise audio with no limit. Output MP3 192 kbps.
Demo for SHEET: Speech Human Evaluation Estimation Toolkit
Enhance audio quality by uploading your file
Clean up noisy audio
Enhance audio quality by removing noise and restoring content
Enhance and analyze audio by reducing noise and detecting plosives
Generate new audio from existing audio
Transcribe audio to text with improved punctuation
Extract sounds from audio using text prompts
User Friendly Image & Video Upscaler!
Generate audio from text prompts
Use DeepFilterNet2 to denoise audio no file size limit
GPT-SoVITS Zero-shot TTS Demo is a cutting-edge AI-powered tool designed to transform text into high-quality speech. It leverages advanced voice cloning technology, utilizing a reference audio to generate synthetic speech that closely matches the voice characteristics of the input audio. This tool is particularly useful for creating realistic voice outputs without the need for extensive voice databases or prior training on specific voices.
• Voice Cloning: Generate speech that mimics the voice characteristics of a reference audio. • Zero-Shot TTS: No need for pre-trained voice models; works directly with the provided reference audio. • High-Quality Audio: Produces clear and natural-sounding speech synthesis. • Multilingual Support: Capable of generating speech in multiple languages. • Customizable Settings: Adjust speech rate, pitch, and other parameters for tailored output.
What is the purpose of the reference audio in GPT-SoVITS Zero-shot TTS Demo?
The reference audio is used to clone the voice characteristics of the speaker, allowing the generated speech to sound like the speaker in the reference audio.
Can I use GPT-SoVITS Zero-shot TTS Demo for multiple languages?
Yes, the tool supports multiple languages, making it versatile for different linguistic needs.
Is there a limit to the length of text I can convert to speech?
Yes, there may be limits on the text length, depending on the demo's configuration and available resources. Experiment with shorter texts for optimal performance.