Generate speech from text and audio sample
High-fidelity Text-To-Speech
short_description: 猫屋敷まゆのAI音声合成モデルを作りました。
Convert text to speech in multiple languages
Generate speech from text in multiple languages
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Text to Audio Tool for Gate Tower Residents
Generate audio from text in multiple languages
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Generate audio from text in multiple languages
Generate speech from text in multiple languages
XTTS_V2 work on CPU Can duplicate is a text-to-speech (TTS) tool designed to generate high-quality speech from text and audio samples. It is optimized to run on CPU architectures, making it accessible for users without dedicated GPU hardware. The tool supports multiple languages, enabling voice synthesis in multiple linguistic formats.
• Multi-language support: Generate speech in multiple languages with accurate pronunciation and intonation.
• CPU optimization: Developed to efficiently run on CPU, ensuring high performance without the need for GPU.
• High-quality speech synthesis: Produces natural, human-like voices for a wide range of applications.
• Offline capability: Functionality works offline, providing privacy and usability without internet dependency.
• Text and audio input support: Accepts both text and audio samples for speech generation.
• Batch processing: Allows for simultaneous processing of multiple inputs to save time.
• User-friendly interface: Intuitive design for easy integration and usage.
• Customization: Offers options to tweak voice characteristics and speech parameters for tailored output.
What languages does XTTS_V2 support?
XTTS_V2 supports a wide range of languages, including English, Spanish, French, Mandarin, and many others. Check the official documentation for the full list.
Does XTTS_V2 require an internet connection?
No, XTTS_V2 is designed to work offline, ensuring privacy and functionality without internet dependency.
What is the difference between CPU and GPU versions of XTTS_V2?
The CPU version is optimized for devices without GPU capabilities, providing efficient performance on standard hardware. The GPU version leverages parallel processing for faster outputs, but the CPU version is fully functional and suitable for most use cases.