📜 Overview:
This project offers a Text-to-Speech (TTS) solution tailored for NotebookLM, designed to provide developers, researchers, and AI enthusiasts with a user-friendly, high-quality TTS tool. The project supports customizations, real-time audio generation, and multilingual synthesis, enabling richer and more natural human-computer interaction experiences within NotebookLM.
🔊 Demo
- 中文示例: 在线试听 (SoundCloud)
- 本地文件: 中文演示音频
🔍 Highlights:
- High Quality: Providing a transparent, high-quality TTS solution.
- High Compatibility: Seamlessly integrates with LLM, so you can get started immediately and experience the full potential of voice synthesis.
- Customization Support: Offers voice style and emotional tone adjustments to meet personalized needs across various scenarios.
- Multilingual Support: Supports multiple languages and dialects, making cross-cultural communication easier and more accessible.
- Real-Time Voice Generation: Ideal for live interactions and scenarios that require quick response, bringing a truly interactive experience to speech synthesis.
📐 Technical Features:
- Built on the Latest Deep Learning Models like Transformer and Flow-Matching for state-of-the-art TTS.
- Efficient Data Processing Pipeline for rapid conversion of large-scale text data.
- Modular Design for easy expansion and integration.
💡 Goals: We aim to create a professional, easy-to-use TTS tool. Whether you're a developer, researcher, or content creator, NotebookTTS allows you to create your own interactive voice experiences with ease.