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AI Hispano Applio (Voice Cloning App) v3.3.1 语言克隆软件

支持系统:Windows

厂商:https://github.com/IAHispano/Applio

独立安装程序 PC

文件大小:4.5GB



一个由人工智能驱动的充满可能性的宇宙。
终极语音克隆工具经过精心优化,具有无与伦比的功能、模块化和用户友好的体验。Applio是一个应用程序,它将允许我们使用人工智能创建自己的声音或使用现有的声音。该程序可以安装在你的电脑上,也可以通过谷歌Colab从云端安装(对于没有电脑或资源不足的用户来说,这是最好的选择)。

存储库增强功能
此存储库经过了重大增强,以提高其功能和可维护性:

模块化代码库:采用模块化方法重构代码库,以实现更好的组织、可读性和维护。
跳长实施:由@Mangio621提供,实施了跳长,提高了效率和性能,特别是在Crepe(前身为Mangio Crepe)上。
30多种语言的翻译:增加了对30多种语言翻译的支持,提高了全球受众的可访问性。
跨平台兼容性:确保跨各种平台的无缝操作,以获得一致的用户体验。
优化需求:微调项目需求,以提高性能和资源效率。
简化安装:简化安装过程,提供用户友好的安装体验。
混合F0估计:引入了一种利用nanmedian的个性化"混合"F0估计方法,将各种方法的F0计算相结合,以获得最佳结果。
易于使用的UI:实现了用户友好的界面,实现了直观的交互。
优化代码和依赖关系:增强代码和简化依赖关系,提高效率。
插件系统:引入了一个插件系统,用于扩展功能和定制。
这些增强功能有助于构建一个更健壮、更可扩展的代码库,使存储库对贡献者和用户都更容易访问。

A universe of possibilities powered by AI.
The ultimate voice cloning tool meticulously optimized for unrivaled power, modularity, and a user-friendly experience. Applio is the application that will allow us to create our own voices with AI or use existing voices. The program can be used installing it on your pc, or from the cloud through Google Colab (the best alternative for users who do not have a computer or have low resources).

Repository Enhancements
This repository has undergone significant enhancements to improve its functionality and maintainability:

Modular Codebase: Restructured codebase following a modular approach for better organization, readability, and maintenance.
Hop Length Implementation: Implemented hop length, courtesy of @Mangio621, boosting efficiency and performance, especially on Crepe (formerly Mangio-Crepe).
Translations in 30+ Languages: Added support for translations in over 30 languages, enhancing accessibility for a global audience.
Cross-Platform Compatibility: Ensured seamless operation across various platforms for a consistent user experience.
Optimized Requirements: Fine-tuned project requirements for enhanced performance and resource efficiency.
Streamlined Installation: Simplified installation process for a user-friendly setup experience.
Hybrid F0 Estimation: Introduced a personalized 'hybrid' F0 estimation method utilizing nanmedian, combining F0 calculations from various methods to achieve optimal results.
Easy-to-Use UI: Implemented a user-friendly interface for intuitive interaction.
Optimized Code & Dependencies: Enhanced code and streamlined dependencies for improved efficiency.
Plugin System: Introduced a plugin system for extending functionality and customization.
These enhancements contribute to a more robust and scalable codebase, making the repository more accessible for contributors and users alike.


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