Generate audio from text with style
Versatile audio super resolution (any -> 48kHz) with AudioSR
Use DeepFilterNet2 to denoise audio no file size limit
Remove noise from audio recordings
Reduce noise in your audio recording
Enhance audio quality by removing noise and restoring content
Generate high-quality music from text descriptions
Process audio to denoise or extract noise
Tame audio by removing noise and normalizing
F5-TTS & E2-TTS: Zero-Shot Voice Cloning (Unofficial Demo)
Versatile audio super resolution (any -> 48kHz) with AudioSR
Apply audio effects to your music file
Generate new voice from source with reference audio
Bert VITS2 Cantonese (Yue) is an advanced AI model designed to generate high-quality audio from text in the Cantonese (Yue) language. It combines the power of VITS ( Voices Transformer) and BERT (Bidirectional Encoder Representations from Transformers) technologies to produce natural and expressive speech synthesis. This model is particularly optimized for the Cantonese language, ensuring authentic pronunciation and intonation.
• Text-to-Speech Conversion: Converts written text into natural-sounding Cantonese speech.
• Enhanced Voice Quality: Utilizes advanced neural networks to deliver high-fidelity audio outputs.
• Stylistic Control: Allows adjustment of speaking styles and emotions to match context.
• Language Specialization: Specifically designed for the Cantonese (Yue) language, ensuring cultural and linguistic accuracy.
• Real-Time Processing: Generates audio quickly, making it suitable for real-time applications.
• Compatibility: Supports integration with various platforms for versatile use cases.
What makes Bert VITS2 Cantonese (Yue) unique?
Bert VITS2 Cantonese (Yue) stands out for its specialization in the Cantonese language, delivering highly accurate and natural speech synthesis tailored to Cantonese speakers.
Is this model suitable for real-time applications?
Yes, Bert VITS2 Cantonese (Yue) supports real-time processing, making it ideal for applications requiring immediate audio generation.
What formats does the model support for output?
The model typically supports WAV and MP3 formats, ensuring compatibility with most media and playback systems.