ヘスティアのAI音声合成モデルを作りました。
Transcribe spoken Russian into text
Transcribe audio or YouTube videos into text
Generate natural-sounding speech from text using OpenAI's API
GPT-SoVITS for MITA!
Transcribe voice to text
Generate speech from text with customizable voices
Realtime implementation of Whisper large turbo
Convert spoken words into text
Convert text to speech in multiple languages
Kokoro is an open-weight TTS model with 82 million parameters.
Generate speech from text
Generate text and audio responses to user queries
Style Bert VITS2 IM2 is an AI-powered speech synthesis model developed by Hestia. It is designed to generate high-quality speech from text with advanced tone and style control, enabling users to produce realistic and expressive voice outputs. The model leverages cutting-edge technology to deliver natural-sounding voices for various applications, including content creation, voice assistants, and multimedia projects.
• High-Quality Voice Synthesis: Generates realistic and clear speech from text inputs.
• Tone and Style Control: Allows users to adjust the tone, pitch, and style of the generated voice to match specific requirements.
• Multi-Language Support: Supports multiple languages, making it versatile for global applications.
• Customizable Voices: Enables users to create unique voice profiles tailored to their needs.
• Efficient Architecture: Optimized for fast and reliable performance, even on less powerful hardware.
What is Style Bert VITS2 IM2 used for?
It is primarily used for generating high-quality speech from text, with advanced control over tone and style, making it ideal for voice assistants, audiobooks, and multimedia projects.
Can I customize the voices?
Yes, Style Bert VITS2 IM2 allows users to customize voice profiles, enabling the creation of unique and tailored voices for specific applications.
Is the model suitable for non-technical users?
Yes, the model is designed to be user-friendly, with simple integration and intuitive controls, making it accessible to both technical and non-technical users.