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
No internet or app download required for high-accuracy speech recognition. Based on full-stack deep learning DNN algorithms, supports offline natural speech (offline NLP), multi-intent understanding, command word self-learning, etc. Covers multiple languages including Chinese (Mandarin/dialects), English, Japanese, Korean, Arabic, Vietnamese, and more.
Excellent recognition experience
Recognition rate >97%, response time <0.2s Powerful features
Supports deep noise reduction, offline natural speech, etc. Easy to implement
Uses serial communication for rapid development and verification Mature solution
Reduces development cycle and support quick product landing Please improve the information. Qiyintalen looks forward to working with you!