The brain neural network processor core (BNPU) equipped with the company's independent intellectual property rights can perfectly support the high-performance DNN computing integrated application processor core and various common control interfaces. It can be used to design various intelligent voice product solutions to achieve local high precision. Multi-lingual, large vocabulary speech recognition and control functions.
Working power consumption: 0.3w
Speech recognition rate: 95%
Recognition distance: 10m
Response speed: 0.5s~0.8s
AI neural network processing algorithm
The hardware processor based on the deep AI neural network (DNN) enables the collection, calculation and decision-making of voice data to be performed locally, without relying on the network, and with small delay, which can protect user privacy.
Fast and accurate conversion of voice into corresponding text, far-field recognition rate of more than 95%, response time of up to 0.3S, support for Chinese, English, and some dialect recognition.
Listen to the voice, automatically extract the speaker's voice characteristics, identify the identity.
Natural language processing
Identify natural language and semantics and respond quickly.
Wheat array noise suppression
Support classic four-grain ring, linear array, 360-degree omnidirectional sound collection, can suppress ambient noise outside the target voice direction, and ensure the accuracy of noisy environment speech recognition.
The voice wake-up function is realized, and the echo suppression ratio is over 20dB, which can be used for products such as story machines and smart speakers.
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