AlphaAvatar Framework plugin for persona service
Project description
Persona Plugin for AlphaAvatar
Support for automatic extraction and real-time matching of user full-modality personas, enabling Avatar to recognize, track, and personalize interactions based on multimodal signals. This plugin provides a unified interface for profiling (semantic + vector representation), speaker identification, and face recognition, abstracting away backend complexity so developers can focus on building adaptive, personalized experiences.
Features
-
Automatic Persona Extraction: On-the-fly profiling of users based on conversation history, behavioral cues, and multimodal inputs. Persona profiles are represented as vector embeddings for efficient similarity search and personalization.
-
Real-time Persona Matching: Incoming dialogue and multimodal signals are matched against stored persona profiles in real-time, ensuring the Avatar can recall context, traits, and preferences instantly.
Installation
pip install alpha-avatar-plugins-persona
Supported Modules
Vector Store
| Module | Description | Docs |
|---|---|---|
| Qdrant (default) | Combined framework for persona extraction pipelines and vector storage / retrieval. | Qdrant |
Profile
| Module | Description | Docs |
|---|---|---|
| LangChain (default) | Combined framework for persona extraction pipelines and vector storage / retrieval. | LangChain |
Speaker
| Module | Description | Docs |
|---|---|---|
| ERes2NetV2 (default) | State-of-the-art deep speaker recognition model for speaker embedding and identification. | 3D-Speaker |
| wav2vec2-large-robust-6-ft-age-gender (default) | Deep learning model for speaker embedding with additional age and gender recognition capabilities. | audEERING |
Face Recognizer
| Module | Description | Docs |
|---|---|---|
| Face ID (default) | Face embedding + recognition module for identity verification and multimodal persona binding. | (e.g., InsightFace) |
Release history Release notifications | RSS feed
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