GLM-4 Voice - Talk to AI in Realtime using Voice! (Open source)
AI Summary
Summary of GLM for Voice Video Transcript
- Introduction to GLM for Voice:
- GLM for Voice is an open-source, end-to-end speech large language model.
- It allows for natural language conversation, converting speech to text and back to speech in real-time.
- Model Architecture:
- Speech is tokenized and inputted into the GLM for Voice.
- The model generates a response in both text and speech.
- The speech is decoded using a speech decoder.
- Key Features:
- Integrated system combining speech recognition, language understanding, and speech generation.
- Supports English and Chinese, with emotion and tone adjustment.
- Real-time interaction capabilities.
- Applicable in customer service, entertainment, and education.
- Trending on Hugging Face, with a repository that quickly gained popularity.
- Setup Instructions:
- Requirements include a GPU (e.g., RTX A6000) and a virtual CPU.
- Clone the repository with submodules from a provided URL.
- Install necessary packages using
pip install.- Install Git LFS.
- Clone the GLM for Voice decoder repository from Hugging Face.
- Running the Application:
- Backend setup involves running a model server script.
- Frontend setup involves running a web demo script.
- Both backend and frontend URLs are provided.
- The frontend interface allows for audio or text input and displays debug information.
- Demonstration:
- The speaker demonstrates asking for a daily plan and information about AI.
- The model generates responses in text and attempts to generate audio in real-time.
- The speaker notes a delay due to low server specs and areas for improvement.
- The user interface is described as primitive but can be configured as needed.
- Conclusion:
- The speaker expresses excitement about the potential of GLM for Voice.
- They mention another video on OpenAI’s real-time API and AI customer service, recommending viewers to watch it.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions were provided in the summary.