ComfyUI-EdgeTTS is a robust text-to-speech node designed for ComfyUI, utilizing the capabilities of Microsoft's Edge TTS to convert written text into lifelike speech. This tool supports a diverse range of languages and voice options, making it a versatile addition for enhancing user interactions across various applications.
- Supports multiple languages and voices, allowing for a tailored user experience.
- Offers adjustable speech parameters such as rate and pitch for customized audio output.
- Easy integration into ComfyUI workflows, streamlining the process of adding voice capabilities.
Context
ComfyUI-EdgeTTS serves as an advanced text-to-speech node within the ComfyUI framework, enabling users to transform text into natural-sounding speech effortlessly. Its primary aim is to facilitate improved user engagement by providing high-quality voice synthesis that can be easily integrated into various applications.
Key Features & Benefits
The tool’s standout features include support for numerous languages and voices, which allows users to select the most suitable audio output for their needs. Additionally, the ability to adjust speech rate and pitch enhances the customization of the audio, ensuring that it can be tailored to fit different contexts and user preferences.
Advanced Functionalities
In addition to basic text-to-speech capabilities, ComfyUI-EdgeTTS includes advanced features like the ability to save audio in multiple formats (WAV, MP3, FLAC) with adjustable quality presets. This functionality is crucial for users who need to export audio files for different applications, making it a versatile tool in content creation.
Practical Benefits
This tool significantly enhances workflow efficiency by simplifying the process of adding voice features to projects in ComfyUI. Its seamless integration and customizable settings provide users with greater control over audio output quality, ultimately leading to improved user experiences and interactions.
Credits/Acknowledgments
The development of ComfyUI-EdgeTTS builds upon the capabilities of Microsoft Edge TTS and OpenAI Whisper, with contributions from various developers in the open-source community. For more information, you can refer to the original repositories of Edge TTS and Whisper.