Offline Speech Recognition
No internet required, local millisecond response; Multi-language recognition, strong noise resistance
Online/Offline LLM
Edge-Cloud Collaboration—Local voice data processing, seamless integration with LLMs
AI Noise Reduction
Adaptive noise reduction algorithm for various scenarios, making calls clearer and smoother
AI Sound Event Detection
Millisecond response, quickly identifies and distinguishes specific sound types
TTS
Converts text to clear, natural, and smooth speech in real-time without internet connection
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Quality and Reliability
Run models with millions to tens of millions of parameters on the device side to efficiently and accurately convert speech into text or instructions.
Combines local deep noise reduction and wake-word algorithms with cloud-based natural language understanding and dialogue generation, providing multi-turn, fluent, and full-duplex voice interaction. Supports major LLMs like Doubao, Qwen, and Deepseek.
Intelligent analysis and recognition of specific sound events, such as snoring and baby crying, through deep neural network algorithms to achieve automatic alarm or response.
Intelligent algorithms such as DNN denoising are used to filter complex background noise, providing high-quality clean speech data and improving call and recording quality.