https://github.com/lifeiteng/notebooktts
Text-To-Speech for NotebookLM
https://github.com/lifeiteng/notebooktts
gpt notebookl notebookllama tts
Last synced: 5 months ago
JSON representation
Text-To-Speech for NotebookLM
- Host: GitHub
- URL: https://github.com/lifeiteng/notebooktts
- Owner: lifeiteng
- License: apache-2.0
- Created: 2024-10-31T14:58:51.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-20T12:33:51.000Z (5 months ago)
- Last Synced: 2025-07-20T14:26:26.949Z (5 months ago)
- Topics: gpt, notebookl, notebookllama, tts
- Homepage: https://notebooklm.google
- Size: 2.06 MB
- Stars: 34
- Watchers: 7
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# NotebookTTS: Text-To-Speech for NotebookLM
---
📜 **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)](https://soundcloud.com/feiteng-li/notebooktts-example)
* **本地文件**: [中文演示音频](./assets/zh_demo.wav)
🔍 **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.