wukong-robot is an open-source, Chinese-language voice assistant platform that integrates ChatGPT for multi-turn conversational AI. It is built around a plugin-based smart speaker framework, combining offline wake word detection with local speech synthesis to enable hands-free, voice-controlled interactions without requiring a constant internet connection.
الميزات الرئيسية لـ wzpan/wukong-robot هي: Voice Assistants, Wake Word Detection, Wake Word Detection Models, CLI-Based Trainings, Local Speech Synthesis, Chinese-Language Platforms, Multi-Voice Synthesis Engines, Embedded Wake-Word Detections.
تشمل البدائل مفتوحة المصدر لـ wzpan/wukong-robot: kitt-ai/snowboy — Snowboy is a deep neural network-based wake word detection engine that runs entirely on-device, processing live audio… popjane/free_chatgpt_api — This project is an API proxy that provides free and paid access to ChatGPT models through an OpenAI-compatible… livekit/livekit — LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with… picovoice/porcupine — Porcupine is an on-device wake word detection engine that listens for a specific spoken phrase in real-time audio and… dscripka/openwakeword — OpenWakeWord is a real-time audio processing framework that listens to microphone streams to identify spoken wake… mycroftai/mycroft-core — Mycroft Core is an open-source voice assistant platform that processes spoken commands and runs modular skills for…
Snowboy is a deep neural network-based wake word detection engine that runs entirely on-device, processing live audio to recognize a spoken trigger phrase without sending any data to the cloud. The project provides both pre-trained universal models for common wake words like "Alexa" or "Snowboy" and the ability to detect a custom wake word defined by the user. The engine is designed to be lightweight enough for embedded devices, using less than 10% CPU on a single-core 700MHz ARM processor such as a Raspberry Pi. Users can train a personalized wake-word model by submitting voice samples throu
This project is an API proxy that provides free and paid access to ChatGPT models through an OpenAI-compatible endpoint. It acts as a reverse proxy, routing requests to ChatGPT while maintaining full compatibility with OpenAI's SDK interface, allowing any application or tool that supports a custom base URL and API key to connect. The service offers a free tier that provides access to ChatGPT models for chat, image generation, and voice dialogue without requiring an official subscription, along with a paid tier that unlocks over 130 OpenAI models including GPT-4 with lower latency and reduced
LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections. The platform distinguishes itself through it
OpenWakeWord is a real-time audio processing framework that listens to microphone streams to identify spoken wake phrases and trigger voice-activated actions. It analyzes incoming audio feeds continuously, scoring confidence levels against predefined trigger phrases to initiate downstream application events. The system incorporates background noise suppression and voice activity analysis to maintain reliable detection accuracy and minimize accidental triggers in noisy environments. Users can adjust numerical probability thresholds to balance responsiveness and false-positive rates for specifi