Cognitive Linguistic Engagement Operator (C.L.E.O.) (BETA)

Overview (BETA)

Cognitive Linguistic Engagement Operator (C.L.E.O.) is a custom AI voice assistant that is being developed to feature a personalized voice and offline TTS integration. It is designed for seamless and intelligent voice interactions with enhanced speech recognition and text-to-speech capabilities. Some features, including the custom voice and advanced TTS functionalities, are currently in beta and will be refined in future updates.

Features (Proposed & Beta)

• Updated Speech Timer: Fixed crashing issues caused by STT mismatches.
• Increased Token Limit: Allows for longer conversational memory.
• Constant Listening Mode: Prevents the assistant from reading the entire prompt unintentionally.
• Speech-to-Text (STT) Integration: Utilizes pyaudio and the speech_recognition library for continuous speech detection via a while loop.
• Basic Text-to-Speech (TTS) Engine: Enables fine-tuning of temperature and vocal characteristics for improved speech synthesis.
• Optimized AI Model: Uses Qwen/Qwen2-1.5B-Instruct for faster processing on local machines compared to other models.
• Custom Voice (Beta): A personalized TTS voice is in development and will be improved over time.

Installation

# Clone the repository
git clone https://github.com/Bloodwingv2/C.L.E.O.git
cd CLEO

# Install dependencies
pip install -r requirements.txt

# Run the assistant
python cleo.py