Generate speech from text with reference audio
Lunch web-based text-to-speech interface
ヘスティアのAI音声合成モデルを作りました。
Generate speech from text with custom voice
Transcribe voice to text
Belarusian TTS
Generate realistic voices from text
Generate speech using a speaker's voice
Realtime implementation of Whisper large turbo
Fast, efficient, & multilingual text-to-speech
Spanish finetune for the original F5 model.
Convert speech to text from audio files
GPT SoVITS V2 is an advanced AI model designed for speech synthesis, enabling the generation of high-quality speech from text. It leverages reference audio to produce natural and contextually appropriate voice outputs, making it ideal for applications requiring realistic voice generation. This model builds on the success of its predecessor, incorporating improved algorithms for better speech alignment and synthesis.
• Enhanced Voice Synthesis: Generates highly natural and expressive speech from text inputs.
• Reference Audio Utilization: Uses reference audio to align generated speech with the desired tone and style.
• Improved Alignment: Incorporates advanced alignment techniques for better synchronization between text and speech.
• Faster Processing: Optimized for efficient processing, reducing generation time without compromising quality.
• Multi-Speaker Support: Capable of generating speech for multiple speakers, enhancing versatility in applications.
• High Fidelity Output: Produces speech with high audio fidelity, suitable for professional use cases.
What makes GPT SoVITS V2 different from other speech synthesis models?
GPT SoVITS V2 stands out due to its ability to use reference audio for alignment, resulting in more natural and contextually appropriate speech synthesis.
Can GPT SoVITS V2 handle multiple speakers?
Yes, GPT SoVITS V2 supports multi-speaker speech synthesis, making it suitable for applications requiring diverse voice outputs.
Is GPT SoVITS V2 available as an API?
Yes, GPT SoVITS V2 can be integrated into applications via APIs, allowing developers to easily leverage its capabilities in their projects.