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2results about How to "Wake up fast" patented technology

Keyword detection method and related device

The application provides a keyword detection method and related equipment. The method comprises: performing feature extraction on a to-be-processed voice signal to obtain acoustic features; and inputting the acoustic features into a trained neural network model to output a keyword detection result, wherein the trained neural network model is a dynamic binary neural network. According to the technical solution, the to-be-processed voice signal is first subjected to feature extraction to obtain acoustic features, and then the acoustic features are input into the trained dynamic binary neural network model to output a keyword detection result. In this way, the parameter quantity and the calculation quantity in the neural network model are greatly reduced, the data storage space is reduced, the wake-up speed is improved, and the power consumption of the detection system is effectively reduced, thereby reducing the difficulty of hardware implementation. Meanwhile, the recognition accuracy of the keyword detection result is effectively improved.
Owner:NANJING INST OF INTELLIGENT TECH INST OF MICROELECTRONICS OF THE CHINESE ACAD OF

A voice wake-up method and system based on hybrid precision quantization neural networks

This invention discloses a voice wake-up method and system based on a mixed-precision quantization neural network. The method includes: acquiring a voice signal to be processed using a microphone of a voice wake-up device; extracting features from the voice signal to obtain log-Mel spectrum features; inputting the log-Mel spectrum features into a mixed-precision quantization neural network to determine the classification result corresponding to the log-Mel spectrum features; wherein, the mixed-precision quantization refers to using different quantization bits for parameter quantization and calculation simplification for the parameters and operations of each layer in the network, based on the required precision of parameter calculation for each layer; if the classification result corresponding to the log-Mel spectrum features is a wake-up word and a set time limit has been exceeded, waking up the voice wake-up device.
Owner:NANJING INST OF INTELLIGENT TECH INST OF MICROELECTRONICS OF THE CHINESE ACAD OF